Order Now

Case study 10.1 resonus corporation

Uncategorized

Case Study 10.1

 

Resonus Corporation

Frank Choy is normally a quiet person, but his patience has already been worn thin by interdepartmental battles. Choy joined Resonus Corporation, a hearing aid designer and manufacturer, eight months ago as director of engineering. Production of the latest product has been delayed by two months, and Choy’s engineering services department (ESD)—which prepares final manufacturing specifications—is taking the heat as the main culprit for these ­delays. Similar delays have been occurring at Resonus for the past few years. The previous engineering director was fired after 18 months; the director before him quit after about the same amount of time.

Bill Hunt, CEO of Resonus for the past 15 years, responded to these problems by urging everyone to remain civil. “I’m sure we can resolve these differences if we just learn to get along better,” he said whenever a dispute broke out. Hunt disliked firing anyone, but he felt the previous engineering director was too confrontational. “I spent too much time smoothing out arguments when he was here,” Hunt thought to himself soon after Choy was hired. “Frank, on the other hand, seems to fit into our culture of collegiality.”

Hunt was groomed by the company’s founder and took great pride in preserving the organization’s family spirit. He also discouraged bureaucracy, believing that Resonus operated best through informal relationships among its managers. Most Resonus executives were similarly informal, except Jacqui Blanc, the production director, who insisted on strict guidelines. Hunt tolerated Blanc’s formal style because soon after joining Resonus five years ago, she discovered and cleaned up fraudulent activity involving two production managers and a few suppliers.

The organizational chart shows that Frank Choy oversees two departments: ESD and research. In reality, “Doc” Kalandry, the research director, informally reports directly to the CEO (Hunt) and has never considered the director of engineering as his boss. Hunt actively supports this ­informal reporting relationship because of Doc’s special status in the organization. “Doc Kalandry is a living genius,” Hunt told Choy soon after he joined the firm. “With Doc at the helm of research, this company will continue to lead the field in innovation.” Hunt’s first job at Resonus was in the research group, and Choy suspected that Hunt still favored that group.

Everyone at Resonus seems to love Doc’s successful products, his quirky style, and his over-the-top enthusiasm, but some of Choy’s ESD staff are also privately concerned. Says one engineer: “Doc is like a happy puppy when he gets a new product idea. He delights in the discovery, but also won’t let go of it. He also gets Hunt too enthusiastic. But Doc’s too optimistic; we’ve had hundreds of production change orders already this year. If I were in Frank’s shoes, I’d put my foot down on all this new development.”

Soon after joining Resonus, Choy realized that ESD employees get most of the blame and little of the credit for their work. When production staff find a design fault, they directly contact the research design engineer who developed the technology, rather than the ESD group who prepare the specifications. Research engineers willingly work with production because they don’t want to let go of their project. “The designers seem to feel they’re losing something when one of us [ESD] tries to help,” Choy explains.

Meanwhile, production supervisors regularly critique ESD staff, whereas they tend to accept explanations from the higher-status research department engineers. “Production routinely complains about every little specification error, many of which are due to design changes made by the research group,” says one frustrated ESD technician. “Many of us have more than 15 years experience in this work. We shouldn’t have to prove our ability all the time, but we spend as much time defending ourselves as we do getting the job done.”

Choy’s latest troubles occurred when Doc excitedly told Hunt, the CEO, about new nanoprocessor technology that he wanted to install in the forthcoming high-end hearing aid product. As with most of Doc’s previous last-minute revisions, Hunt endorsed this change and asked Choy and Blanc (the production director) to show their commitment, even though production was scheduled to begin in less than three weeks. Choy wanted to protest, knowing that his department would have to tackle unexpected ­incompatibility design errors. Instead, he quietly agreed to Hunt’s request to avoid acting like his predecessor and ­facing similar consequences (i.e., getting fired). Blanc curtly stated that her group was ready if Choy’s ESD unit could get accurate production specifications ready on time and if the sales director would stop making wild delivery promises to customers.

When Doc’s revised design specs arrived more than a week later, Choy’s group discovered numerous incompatibilities that had to be corrected. Even though several ESD staff were assigned to 12-hour days on the revisions, the final production specifications weren’t ready until a couple of days after the deadline. Production returned these specs two days later, noting a few elements that required revision because they were too costly or difficult to manufacture in their current form. By that time, the production director had to give priority to other jobs and move the new hearing aid product further down the queue. This meant that manufacturing of the new product was delayed by at least two months. The sale director was furious and implied that Frank Choy’s ­incompetence was to blame for this catastrophe.

Discussion Questions

1. What sources and contingencies of power existed among the executives and departments at Resonus?

2. What influence tactics were evident in this case study? Would you define any of these influence activities as organizational politics? Why or why not?

3. Suppose you are a consultant invited to propose a solution to the problems facing this organization’s product delays. What would you recommend, particularly regarding power dynamics among the executives and departments?

Continue to order Get a quote
Place your order
(550 words)

Approximate price: $22

July 1, 2023
    

Question 1 of 40
z = 1.8 for Ha: µ > claimed value. What is the P-value for the test?  
A. 0.9641
B. 3.59
C. 96.41
D. 0.0359
Question 2 of 40
A nationwide study of American homeowners revealed that 65% have one or more lawn mowers. A lawn equipment manufacturer, located in Omaha, feels the estimate is too low for households in Omaha. Find the P-value for a test of the claim that the proportion with lawn mowers in Omaha is higher than 65%. Among 497 randomly selected homes in Omaha, 340 had one or more lawn mowers. Use Table 5.1 to find the best answer.
A. 0.0559
B. 0.1118
C. 0.0252
D. 0.0505
Question 3 of 40
A right-tailed test is conducted at the 5% significance level. Which of the following z-scores is the smallest one in absolute value that leads to rejection of the null hypothesis?  
A. 1.61
B. 1.85
C. -1.98
D. -2.06
Question 4 of 40
A study of a brand of “in the shell peanuts” gives the following results:
A significant event at the 0.01 level is a fan getting a bag with how many peanuts?
A. 30 peanuts
B. 25 or 30 peanuts
C. 25 or 55 peanuts
D. 25 peanuts
Question 5 of 40
The principal of a middle school claims that annual incomes of the families of the seventh-graders at his school vary more than the annual incomes of the families of the seventh-graders at a neighboring school, which have variation described by s = $13,700. Assume that a hypothesis test of the claim has been conducted and that the conclusion of the test was to reject the null hypothesis. Identify the population to which the results of the test apply.
A. The current seventh graders at the principal’s school
B. Seventh graders’ families at the school with a standard deviation of $13,700
C. All of the families of the class of seventh graders at the principal’s school
D. All seventh graders’ families
Question 6 of 40
A two-tailed test is conducted at the 5% significance level. What is the P-value required to reject the null hypothesis?
A. Greater than or equal to 0.10
B. Less than or equal to 0.05
C. Less than or equal to 0.10
D. Greater than or equal to 0.05
Question 7 of 40
A consumer advocacy group claims that the mean amount of juice in a 16
ounce bottled drink is not 16 ounces, as stated by the bottler.
Determine the null and alternative hypotheses for the test described.
A. H0: µ = 16 ounces Ha: µ < 16 ounces
B. H0: µ ¹ 16 ounces Ha: µ = 16 ounces
C. H0: µ = 16 ounces Ha: µ > 16 ounces
D. H0: µ = 16 ounces Ha: µ ¹ 16 ounces
Question 8 of 40
A long-distance telephone company claims that the mean duration of long-distance telephone calls originating in one town was greater than 9.4 minutes, which is the average for the state. Determine the conclusion of the hypothesis test assuming that the results of the sampling do not lead to rejection of the null hypothesis.
A. Conclusion: Support the claim that the mean is less than 9.4 minutes.
B. Conclusion: Support the claim that the mean is greater than 9.4 minutes.
C. Conclusion: Support the claim that the mean is equal to 9.4 minutes.
D. Conclusion: Do not support the claim that the mean is greater than 9.4 minutes.
Question 9 of 40
A consumer group claims that the mean running time for a certain type of flashlight battery is not the same as the manufacturer’s claims. Determine the null and alternative hypotheses for the test described.
A. H0: µ = Manufacturer’s claims Ha: µ < Manufacturer’s claims
B. H0: µ = Manufacturer’s claims Ha: µ ¹ Manufacturer’s claims
C. H0: µ = Manufacturer’s claims Ha: µ > Manufacturer’s claims
D. H0: µ ¹ Manufacturer’s claims Ha: µ = Manufacturer’s claims
Question 10 of 40
In 1990, the average duration of long-distance telephone calls originating in one town was 9.4 minutes. A long-distance telephone company wants to perform a hypothesis test to determine whether the average duration of long-distance phone calls has changed from the 1990 mean of 9.4 minutes. The mean duration for a random sample of 50 calls originating in the town was 8.6 minutes. Does the data provide sufficient evidence to conclude that the mean call duration, µ, is different from the 1990 mean of 9.4 minutes? Perform the appropriate hypothesis test using a significance level of 0.01. Assume that s = 4.8 minutes.
A. With a z of -1.2 there is sufficient evidence to conclude that the mean
value has changed from the 1990 mean of 9.4 minutes.
B. With a P-value of 0.2302 there is not sufficient evidence to conclude
that the mean value is less than the 1990 mean of 9.4 minutes.
C. With a P-value of 0.2302 there is sufficient evidence to conclude that
the mean value is less than the 1990 mean of 9.4 minutes.
D. With a z of –1.2 there is not sufficient evidence to conclude that the
mean value has changed from the 1990 mean of 9.4 minutes.

Question 11 of 40
A researcher claims that the amounts of acetaminophen in a certain brand of cold tablets have a mean different from the 600 mg claimed by the manufacturer. Test this claim at the 0.02 level of significance. The mean acetaminophen content for a random sample of n = 41 tablets is 603.3 mg. Assume that the population standard deviation is 4.9 mg.
A. Since the test statistic is greater than the critical z, there is sufficient evidence to accept the null hypothesis and to support the claim that the mean content of acetaminophen is 600 mg.
B. Since the test statistic is greater than the critical z, there is sufficient evidence to reject the null hypothesis and to support the claim that the mean content of acetaminophen is not 600 mg.
C. Since the test statistic is less than the critical z, there is sufficient evidence to reject the null hypothesis and to support the claim that the mean content of acetaminophen is not 600 mg.
D. Since the test statistic is greater than the critical z, there is insufficient evidence to reject the null hypothesis and to support the claim that the mean content of acetaminophen is not 600 mg.
Question 12 of 40
A poll of 1,068 adult Americans reveals that 52% of the voters surveyed prefer the Democratic candidate for the presidency. At the 0.05 significance level, test the claim that more than half of all voters prefer the Democrat.
A. Reject the null hypothesis. Conclude that there is insufficient evidence that more than half of all voters prefer Democrats.
B. Do not reject the null hypothesis. Conclude that there is sufficient evidence that more than half of all voters prefer Democrats.
C. Reject the null hypothesis. Conclude that there is sufficient evidence that more than half of all voters prefer Democrats.
D. Do not reject the null hypothesis. Conclude that there is insufficient evidence that more than half of all voters prefer Democrats.
Question 13 of 40
A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The mean volume of juice for a random sample of 70 bottles was 15.94 ounces. Do the data provide sufficient evidence to conclude that the mean amount of juice for all 16-ounce bottles, µ, is less than 16.1 ounces? Perform the appropriate hypothesis test using a significance level of 0.10. Assume that s = 0.9 ounces.  
A. The z of - 1.49 provides sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
B. The z of - 1.49 does not provide sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
C. The z of - 0.1778 does not provide sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
D. The z of - 0.1778 provides sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
Question 14 of 40
In the past, the mean running time for a certain type of flashlight battery has been 9.8 hours. The manufacturer has introduced a change in the production method and wants to perform a hypothesis test to determine whether the mean running time has increased as a result. The hypotheses are:
H0 : µ = 9.8 hours
Ha : µ > 9.8 hours
Suppose that the results of the sampling lead to rejection of the null hypothesis. Classify that conclusion as a Type I error, a Type II error, or a correct decision, if in fact the mean running time has not increased.
A. Type I error
B. Type II error
C. Correct decision
D. Can not be determined from this information
Question 15 of 40
The owner of a football team claims that the average attendance at home games is over 3000, and he is therefore justified in moving the team to a city with a larger stadium. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in non-technical terms.
A. There is sufficient evidence to support the claim that the mean attendance is greater than 3000.
B. There is sufficient evidence to support the claim that the mean attendance is equal to 3000.
C. There is not sufficient evidence to support the claim that the mean attendance is greater than 3000.
D. There is not sufficient evidence to support the claim that the mean attendance is less than 3000.
Question 16 of 40
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand. State the null hypothesis and the alternative hypothesis for a test of significance.
A. H0: p = 0.001 Ha: p > 0.001
B. H0: p = 0.001 Ha: p < 0.001
C. H0: p > 0.001 Ha: p = 0.001
D. H0: p < 0.001 Ha: p = 0.001
Question 17 of 40
At one school, the mean amount of time that tenth-graders spend watching television each week is 18.4 hours. The principal introduces a campaign to encourage the students to watch less television. One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased.
Formulate the null and alternative hypotheses for the study described.
A. Ho: µ = 18.4 hours H a : µ ¹ 18.4 hours
B. Ho: µ = 18.4 hours H a : µ < 18.4 hours
C. Ho: µ ³ 18.4 hours H a : µ < 18.4 hours
D. Ho: µ = 18.4 hours H a : µ > 18.4 hours
Question 18 of 40
without computing a P-value, determine whether the alternate hypothesis is supported and give a reason for your conclusion.
A. is less than 1 standard deviation above the claimed mean.
B. is more than 4 standard deviations above the claimed mean.
C. is less than 1 standard deviation above the claimed mean.
D. is more than 4 standard deviations above the claimed mean.

Question 19 of 40
A psychologist claims that more than 29 percent of the professional population suffers from problems due to extreme shyness. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in non-technical terms.
A. There is sufficient evidence to support the claim that the true proportion is less than 29 percent.
B. There is not sufficient evidence to support the claim that the true proportion is greater than 29 percent.
C. There is sufficient evidence to support the claim that the true proportion is equal to 29 percent.
D. There is sufficient evidence to support the claim that the true proportion is greater than 29 percent.
Question 20 of 40
A two-tailed test is conducted at the 5% significance level. Which of the z-scores below is the smallest one that leads to rejection of the null hypothesis?
A. 1.12
B. 1.48
C. 1.84
D. 2.15

Question 21 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent.
The critical value of X2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of the X2 statistic is 4.613, state your conclusion about the relationship between gender and colorblindness.
A. Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
B. Reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
C. Do not Reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
D. Do not Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
Question 22 of 40
A large test statistic F tells us that the sample means __________ the data within the individual samples, which would be unlikely if the populations means really were equal (as the null hypothesis claims).
A. differ more than
B. differ less than
C. are equal to
D. do not vary with
Question 23 of 40
A 95% confidence interval for the mean of a normal population is found to be 15.6 < µ < 24.8. What is the margin of error?
A. 4.4
B. 4.6
C. 4.8
D. 5.0

Question 24 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent.
The critical value of X2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of the X2 statistic is 3.427, state your conclusion about the relationship between gender and colorblindness.
A. Do not reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
B. Do not reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
C. Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
D. Reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
Question 25 of 40
The margin of error in estimating the population mean of a normal population is E = 9.3 when the sample size is 15. If the sample size had been 18 and the sample standard deviation did not change, would the margin of error be larger or smaller than 9.3? Explain your answer.
A. Smaller. E decreases as the square root of the sample size gets larger.
B. Smaller. E increases as the square root of the sample size gets larger.
C. Larger. E decreases as the square root of the sample size gets larger.
D. Larger. E increases as the square root of the sample size gets larger.

Question 26 of 40
The following data were analyzed using one-way analysis of variance.
A B C
34 27 19
26 23 31
31 29 22
28 21 22
Which one of the following statements is correct?
A. The purpose of the analysis is to determine whether the groups A, B, and C are independent.
B. The purpose of the analysis is to test the hypothesis that the population means of the three groups are equal.
C. The purpose of the analysis is to test the hypothesis that the population variances of the three groups are equal.
D. The purpose of the analysis is to test the hypothesis that the sample means of the three groups are equal.
Question 27 of 40
Which of the following statements is true?
A. The t distribution can be used when finding a confidence interval for the population mean whenever the sample size is small.
B. The p distribution can be used when finding a confidence interval for the population mean whenever the sample size is small.
C. The t distribution cannot be used when finding a confidence interval for the population mean whenever the sample size is small.
D. The p distribution cannot be used when finding a confidence interval for the sample mean whenever the sample size is small.
Question 28 of 40
The __________ test statistic is for the one-way analysis of variance.
A. P-Value
B. t
C. F
D. p
Question 29 of 40
Which of the following statements is true?
A. The t distribution cannot be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
B. The t distribution can be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
C. The p distribution can be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
D. The p distribution can be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
Question 30 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 8 52 60
Female 2 38 40
Total 10 90 100
If gender and colorblindness are independent, find the expected values corresponding to the four combinations of gender and colorblindness, and enter them in the following table along with row and column totals.
Colorblind Not Colorblind Total
Male
Female
Total
A. Male Colorblind 6.0; Male Not Colorblind 54.0
B. Male Colorblind 7.0; Male Not Colorblind 53.0
C. Male Colorblind 8.0; Male Not Colorblind 52.0
D. Male Colorblind 6.0; Male Not Colorblind 53.0
Question 31 of 40 0.0/ 2.5 Points
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 7 53 60
Female 1 39 40
Total 8 92 100
State the null and alternative hypothesis for the information above.
A.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are related in some way.
B.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are not related in any way.
C.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are not related in any way.
D.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are related in some way.
Question 32 of 40
A golfer wished to find a ball that would travel more than 170 yards when hit with his 6-iron with a club head speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 12 times at the required speed. State the null and alternative hypotheses for this test.
A. H0: µ > 170; Ha: µ = 170
B. H0: µ < 170; Ha: µ = 170
C. H0: µ = 170; Ha: µ > 170
D. H0: µ = 160; Ha: µ > 160

Question 33 of 40
A golfer wished to find a ball that would travel more than 180 yards when hit with his 5-iron with a club speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 7 times at the required speed.
Data from this test resulted in a sample mean of 184.2 yards and a sample standard deviation of 5.8 yards. Assuming normality, carry out a hypothesis test at the 0.05 significance level to determine whether the ball meets the golfer’s requirements. Use the partial t-table below.
Area in one tail
0.025 0.05
Area in two tails
Degrees of
Freedom
n - 1 0.05 0.10
6 2.447 1.943
7 2.365 1.895
8 2.306 1.860
9 2.262 1.833
A. Reject the null hypothesis. The data do not provide sufficient evidence that the average distance is greater than 180 yards.
B. Reject the null hypothesis. The data do provide sufficient evidence that the average distance is greater than 180 yards.
C. Do not reject the null hypothesis. The data do provide sufficient evidence that the average distance is greater than 180 yards.
D. Do not reject the null hypothesis. The data do not provide sufficient evidence that the average distance is greater than 180 yards.

Question 34 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 8 52 60
Female 2 38 40
Total 10 90 100
State the null and alternative hypothesis for the test associated with this data.
A.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are not related in any way.
B.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are related in some way.
C.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are not related in any way.
D.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are related in some way.
Question 35 of 40
A 95% confidence interval for the mean of a normal population is found to be 17.6 < µ < 23.6. What is the margin of error?
A. 2.0
B. 2.7
C. 3.0
D. 4.0

Question 36 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 7 53 60
Female 1 39 40
Total 8 92 100
Find the value of the X2 statistic for the data above.
A. 1.325
B. 1.318
C. 1.286
D. 1.264
            None of the above answer choices is correct. This has been a chronic issue
            with this problem set.
Question 37 of 40
A golfer wished to find a ball that would travel more than 160 yards when hit with his 7-iron with a club speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 8 times at the required speed.
Data from this test resulted in a sample mean of 163.2 yards with a sample standard deviation of 5.8 yards. Assuming normality, carry out a hypothesis test at the 0.05 significance level to determine whether the ball meets the golfer’s requirements. Use the partial t-table below to solve this problem.
A. Do not reject the null hypothesis. The data do not provide sufficient
evidence that the average distance is greater than 160 yards.
B. Reject the null hypothesis. The data does provide sufficient evidence that the average distance is greater than 160 yards.
C. t= 1.2334; Critical value = 1.992
D. Insufficient information to answer this question.
Question 38 of 40
A 95% confidence interval for the mean of a normal population is found to be 15.6 < µ < 25.2. What is the margin of error?
A. 3.9
B. 4.8
C. 4.9
D. 3.7
Question 39 of 40
A 95% confidence interval for the mean of a normal population is found to be 13.2 < µ < 22.4. What is the margin of error?
A. 4.6
B. 4.4
C. 4.2
D. 5.6
Question 40 of 40
A simple random sample from a normal distribution is taken in order to obtain a 95% confidence interval for the population mean. If the sample size is 8, the sample mean x̄ is 22, and the sample standard deviation s is 6.3, what is the margin of error? Show your answer to 2 decimal places.
A. df = 7; E = 3.3445.38 = 5.6566
B. df = 8; E = 3.3445.38 = 5.6566
C. df = 6; E = 2.3656.38 = 5.769
D. df = 7; E = 2.3656.38 = 5.869

default image
July 1, 2023
    

Question 1 of 40
z = 1.8 for Ha: µ > claimed value. What is the P-value for the test?  
A. 0.9641
B. 3.59
C. 96.41
D. 0.0359
Question 2 of 40
A nationwide study of American homeowners revealed that 65% have one or more lawn mowers. A lawn equipment manufacturer, located in Omaha, feels the estimate is too low for households in Omaha. Find the P-value for a test of the claim that the proportion with lawn mowers in Omaha is higher than 65%. Among 497 randomly selected homes in Omaha, 340 had one or more lawn mowers. Use Table 5.1 to find the best answer.
A. 0.0559
B. 0.1118
C. 0.0252
D. 0.0505
Question 3 of 40
A right-tailed test is conducted at the 5% significance level. Which of the following z-scores is the smallest one in absolute value that leads to rejection of the null hypothesis?  
A. 1.61
B. 1.85
C. -1.98
D. -2.06
Question 4 of 40
A study of a brand of “in the shell peanuts” gives the following results:
A significant event at the 0.01 level is a fan getting a bag with how many peanuts?
A. 30 peanuts
B. 25 or 30 peanuts
C. 25 or 55 peanuts
D. 25 peanuts
Question 5 of 40
The principal of a middle school claims that annual incomes of the families of the seventh-graders at his school vary more than the annual incomes of the families of the seventh-graders at a neighboring school, which have variation described by s = $13,700. Assume that a hypothesis test of the claim has been conducted and that the conclusion of the test was to reject the null hypothesis. Identify the population to which the results of the test apply.
A. The current seventh graders at the principal’s school
B. Seventh graders’ families at the school with a standard deviation of $13,700
C. All of the families of the class of seventh graders at the principal’s school
D. All seventh graders’ families
Question 6 of 40
A two-tailed test is conducted at the 5% significance level. What is the P-value required to reject the null hypothesis?
A. Greater than or equal to 0.10
B. Less than or equal to 0.05
C. Less than or equal to 0.10
D. Greater than or equal to 0.05
Question 7 of 40
A consumer advocacy group claims that the mean amount of juice in a 16
ounce bottled drink is not 16 ounces, as stated by the bottler.
Determine the null and alternative hypotheses for the test described.
A. H0: µ = 16 ounces Ha: µ < 16 ounces
B. H0: µ ¹ 16 ounces Ha: µ = 16 ounces
C. H0: µ = 16 ounces Ha: µ > 16 ounces
D. H0: µ = 16 ounces Ha: µ ¹ 16 ounces
Question 8 of 40
A long-distance telephone company claims that the mean duration of long-distance telephone calls originating in one town was greater than 9.4 minutes, which is the average for the state. Determine the conclusion of the hypothesis test assuming that the results of the sampling do not lead to rejection of the null hypothesis.
A. Conclusion: Support the claim that the mean is less than 9.4 minutes.
B. Conclusion: Support the claim that the mean is greater than 9.4 minutes.
C. Conclusion: Support the claim that the mean is equal to 9.4 minutes.
D. Conclusion: Do not support the claim that the mean is greater than 9.4 minutes.
Question 9 of 40
A consumer group claims that the mean running time for a certain type of flashlight battery is not the same as the manufacturer’s claims. Determine the null and alternative hypotheses for the test described.
A. H0: µ = Manufacturer’s claims Ha: µ < Manufacturer’s claims
B. H0: µ = Manufacturer’s claims Ha: µ ¹ Manufacturer’s claims
C. H0: µ = Manufacturer’s claims Ha: µ > Manufacturer’s claims
D. H0: µ ¹ Manufacturer’s claims Ha: µ = Manufacturer’s claims
Question 10 of 40
In 1990, the average duration of long-distance telephone calls originating in one town was 9.4 minutes. A long-distance telephone company wants to perform a hypothesis test to determine whether the average duration of long-distance phone calls has changed from the 1990 mean of 9.4 minutes. The mean duration for a random sample of 50 calls originating in the town was 8.6 minutes. Does the data provide sufficient evidence to conclude that the mean call duration, µ, is different from the 1990 mean of 9.4 minutes? Perform the appropriate hypothesis test using a significance level of 0.01. Assume that s = 4.8 minutes.
A. With a z of -1.2 there is sufficient evidence to conclude that the mean
value has changed from the 1990 mean of 9.4 minutes.
B. With a P-value of 0.2302 there is not sufficient evidence to conclude
that the mean value is less than the 1990 mean of 9.4 minutes.
C. With a P-value of 0.2302 there is sufficient evidence to conclude that
the mean value is less than the 1990 mean of 9.4 minutes.
D. With a z of –1.2 there is not sufficient evidence to conclude that the
mean value has changed from the 1990 mean of 9.4 minutes.

Question 11 of 40
A researcher claims that the amounts of acetaminophen in a certain brand of cold tablets have a mean different from the 600 mg claimed by the manufacturer. Test this claim at the 0.02 level of significance. The mean acetaminophen content for a random sample of n = 41 tablets is 603.3 mg. Assume that the population standard deviation is 4.9 mg.
A. Since the test statistic is greater than the critical z, there is sufficient evidence to accept the null hypothesis and to support the claim that the mean content of acetaminophen is 600 mg.
B. Since the test statistic is greater than the critical z, there is sufficient evidence to reject the null hypothesis and to support the claim that the mean content of acetaminophen is not 600 mg.
C. Since the test statistic is less than the critical z, there is sufficient evidence to reject the null hypothesis and to support the claim that the mean content of acetaminophen is not 600 mg.
D. Since the test statistic is greater than the critical z, there is insufficient evidence to reject the null hypothesis and to support the claim that the mean content of acetaminophen is not 600 mg.
Question 12 of 40
A poll of 1,068 adult Americans reveals that 52% of the voters surveyed prefer the Democratic candidate for the presidency. At the 0.05 significance level, test the claim that more than half of all voters prefer the Democrat.
A. Reject the null hypothesis. Conclude that there is insufficient evidence that more than half of all voters prefer Democrats.
B. Do not reject the null hypothesis. Conclude that there is sufficient evidence that more than half of all voters prefer Democrats.
C. Reject the null hypothesis. Conclude that there is sufficient evidence that more than half of all voters prefer Democrats.
D. Do not reject the null hypothesis. Conclude that there is insufficient evidence that more than half of all voters prefer Democrats.
Question 13 of 40
A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The mean volume of juice for a random sample of 70 bottles was 15.94 ounces. Do the data provide sufficient evidence to conclude that the mean amount of juice for all 16-ounce bottles, µ, is less than 16.1 ounces? Perform the appropriate hypothesis test using a significance level of 0.10. Assume that s = 0.9 ounces.  
A. The z of - 1.49 provides sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
B. The z of - 1.49 does not provide sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
C. The z of - 0.1778 does not provide sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
D. The z of - 0.1778 provides sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
Question 14 of 40
In the past, the mean running time for a certain type of flashlight battery has been 9.8 hours. The manufacturer has introduced a change in the production method and wants to perform a hypothesis test to determine whether the mean running time has increased as a result. The hypotheses are:
H0 : µ = 9.8 hours
Ha : µ > 9.8 hours
Suppose that the results of the sampling lead to rejection of the null hypothesis. Classify that conclusion as a Type I error, a Type II error, or a correct decision, if in fact the mean running time has not increased.
A. Type I error
B. Type II error
C. Correct decision
D. Can not be determined from this information
Question 15 of 40
The owner of a football team claims that the average attendance at home games is over 3000, and he is therefore justified in moving the team to a city with a larger stadium. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in non-technical terms.
A. There is sufficient evidence to support the claim that the mean attendance is greater than 3000.
B. There is sufficient evidence to support the claim that the mean attendance is equal to 3000.
C. There is not sufficient evidence to support the claim that the mean attendance is greater than 3000.
D. There is not sufficient evidence to support the claim that the mean attendance is less than 3000.
Question 16 of 40
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand. State the null hypothesis and the alternative hypothesis for a test of significance.
A. H0: p = 0.001 Ha: p > 0.001
B. H0: p = 0.001 Ha: p < 0.001
C. H0: p > 0.001 Ha: p = 0.001
D. H0: p < 0.001 Ha: p = 0.001
Question 17 of 40
At one school, the mean amount of time that tenth-graders spend watching television each week is 18.4 hours. The principal introduces a campaign to encourage the students to watch less television. One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased.
Formulate the null and alternative hypotheses for the study described.
A. Ho: µ = 18.4 hours H a : µ ¹ 18.4 hours
B. Ho: µ = 18.4 hours H a : µ < 18.4 hours
C. Ho: µ ³ 18.4 hours H a : µ < 18.4 hours
D. Ho: µ = 18.4 hours H a : µ > 18.4 hours
Question 18 of 40
without computing a P-value, determine whether the alternate hypothesis is supported and give a reason for your conclusion.
A. is less than 1 standard deviation above the claimed mean.
B. is more than 4 standard deviations above the claimed mean.
C. is less than 1 standard deviation above the claimed mean.
D. is more than 4 standard deviations above the claimed mean.

Question 19 of 40
A psychologist claims that more than 29 percent of the professional population suffers from problems due to extreme shyness. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in non-technical terms.
A. There is sufficient evidence to support the claim that the true proportion is less than 29 percent.
B. There is not sufficient evidence to support the claim that the true proportion is greater than 29 percent.
C. There is sufficient evidence to support the claim that the true proportion is equal to 29 percent.
D. There is sufficient evidence to support the claim that the true proportion is greater than 29 percent.
Question 20 of 40
A two-tailed test is conducted at the 5% significance level. Which of the z-scores below is the smallest one that leads to rejection of the null hypothesis?
A. 1.12
B. 1.48
C. 1.84
D. 2.15

Question 21 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent.
The critical value of X2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of the X2 statistic is 4.613, state your conclusion about the relationship between gender and colorblindness.
A. Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
B. Reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
C. Do not Reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
D. Do not Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
Question 22 of 40
A large test statistic F tells us that the sample means __________ the data within the individual samples, which would be unlikely if the populations means really were equal (as the null hypothesis claims).
A. differ more than
B. differ less than
C. are equal to
D. do not vary with
Question 23 of 40
A 95% confidence interval for the mean of a normal population is found to be 15.6 < µ < 24.8. What is the margin of error?
A. 4.4
B. 4.6
C. 4.8
D. 5.0

Question 24 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent.
The critical value of X2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of the X2 statistic is 3.427, state your conclusion about the relationship between gender and colorblindness.
A. Do not reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
B. Do not reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
C. Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
D. Reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
Question 25 of 40
The margin of error in estimating the population mean of a normal population is E = 9.3 when the sample size is 15. If the sample size had been 18 and the sample standard deviation did not change, would the margin of error be larger or smaller than 9.3? Explain your answer.
A. Smaller. E decreases as the square root of the sample size gets larger.
B. Smaller. E increases as the square root of the sample size gets larger.
C. Larger. E decreases as the square root of the sample size gets larger.
D. Larger. E increases as the square root of the sample size gets larger.

Question 26 of 40
The following data were analyzed using one-way analysis of variance.
A B C
34 27 19
26 23 31
31 29 22
28 21 22
Which one of the following statements is correct?
A. The purpose of the analysis is to determine whether the groups A, B, and C are independent.
B. The purpose of the analysis is to test the hypothesis that the population means of the three groups are equal.
C. The purpose of the analysis is to test the hypothesis that the population variances of the three groups are equal.
D. The purpose of the analysis is to test the hypothesis that the sample means of the three groups are equal.
Question 27 of 40
Which of the following statements is true?
A. The t distribution can be used when finding a confidence interval for the population mean whenever the sample size is small.
B. The p distribution can be used when finding a confidence interval for the population mean whenever the sample size is small.
C. The t distribution cannot be used when finding a confidence interval for the population mean whenever the sample size is small.
D. The p distribution cannot be used when finding a confidence interval for the sample mean whenever the sample size is small.
Question 28 of 40
The __________ test statistic is for the one-way analysis of variance.
A. P-Value
B. t
C. F
D. p
Question 29 of 40
Which of the following statements is true?
A. The t distribution cannot be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
B. The t distribution can be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
C. The p distribution can be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
D. The p distribution can be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
Question 30 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 8 52 60
Female 2 38 40
Total 10 90 100
If gender and colorblindness are independent, find the expected values corresponding to the four combinations of gender and colorblindness, and enter them in the following table along with row and column totals.
Colorblind Not Colorblind Total
Male
Female
Total
A. Male Colorblind 6.0; Male Not Colorblind 54.0
B. Male Colorblind 7.0; Male Not Colorblind 53.0
C. Male Colorblind 8.0; Male Not Colorblind 52.0
D. Male Colorblind 6.0; Male Not Colorblind 53.0
Question 31 of 40 0.0/ 2.5 Points
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 7 53 60
Female 1 39 40
Total 8 92 100
State the null and alternative hypothesis for the information above.
A.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are related in some way.
B.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are not related in any way.
C.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are not related in any way.
D.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are related in some way.
Question 32 of 40
A golfer wished to find a ball that would travel more than 170 yards when hit with his 6-iron with a club head speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 12 times at the required speed. State the null and alternative hypotheses for this test.
A. H0: µ > 170; Ha: µ = 170
B. H0: µ < 170; Ha: µ = 170
C. H0: µ = 170; Ha: µ > 170
D. H0: µ = 160; Ha: µ > 160

Question 33 of 40
A golfer wished to find a ball that would travel more than 180 yards when hit with his 5-iron with a club speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 7 times at the required speed.
Data from this test resulted in a sample mean of 184.2 yards and a sample standard deviation of 5.8 yards. Assuming normality, carry out a hypothesis test at the 0.05 significance level to determine whether the ball meets the golfer’s requirements. Use the partial t-table below.
Area in one tail
0.025 0.05
Area in two tails
Degrees of
Freedom
n - 1 0.05 0.10
6 2.447 1.943
7 2.365 1.895
8 2.306 1.860
9 2.262 1.833
A. Reject the null hypothesis. The data do not provide sufficient evidence that the average distance is greater than 180 yards.
B. Reject the null hypothesis. The data do provide sufficient evidence that the average distance is greater than 180 yards.
C. Do not reject the null hypothesis. The data do provide sufficient evidence that the average distance is greater than 180 yards.
D. Do not reject the null hypothesis. The data do not provide sufficient evidence that the average distance is greater than 180 yards.

Question 34 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 8 52 60
Female 2 38 40
Total 10 90 100
State the null and alternative hypothesis for the test associated with this data.
A.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are not related in any way.
B.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are related in some way.
C.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are not related in any way.
D.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are related in some way.
Question 35 of 40
A 95% confidence interval for the mean of a normal population is found to be 17.6 < µ < 23.6. What is the margin of error?
A. 2.0
B. 2.7
C. 3.0
D. 4.0

Question 36 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 7 53 60
Female 1 39 40
Total 8 92 100
Find the value of the X2 statistic for the data above.
A. 1.325
B. 1.318
C. 1.286
D. 1.264
            None of the above answer choices is correct. This has been a chronic issue
            with this problem set.
Question 37 of 40
A golfer wished to find a ball that would travel more than 160 yards when hit with his 7-iron with a club speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 8 times at the required speed.
Data from this test resulted in a sample mean of 163.2 yards with a sample standard deviation of 5.8 yards. Assuming normality, carry out a hypothesis test at the 0.05 significance level to determine whether the ball meets the golfer’s requirements. Use the partial t-table below to solve this problem.
A. Do not reject the null hypothesis. The data do not provide sufficient
evidence that the average distance is greater than 160 yards.
B. Reject the null hypothesis. The data does provide sufficient evidence that the average distance is greater than 160 yards.
C. t= 1.2334; Critical value = 1.992
D. Insufficient information to answer this question.
Question 38 of 40
A 95% confidence interval for the mean of a normal population is found to be 15.6 < µ < 25.2. What is the margin of error?
A. 3.9
B. 4.8
C. 4.9
D. 3.7
Question 39 of 40
A 95% confidence interval for the mean of a normal population is found to be 13.2 < µ < 22.4. What is the margin of error?
A. 4.6
B. 4.4
C. 4.2
D. 5.6
Question 40 of 40
A simple random sample from a normal distribution is taken in order to obtain a 95% confidence interval for the population mean. If the sample size is 8, the sample mean x̄ is 22, and the sample standard deviation s is 6.3, what is the margin of error? Show your answer to 2 decimal places.
A. df = 7; E = 3.3445.38 = 5.6566
B. df = 8; E = 3.3445.38 = 5.6566
C. df = 6; E = 2.3656.38 = 5.769
D. df = 7; E = 2.3656.38 = 5.869

default image
July 1, 2023
    

Question 1 of 40
z = 1.8 for Ha: µ > claimed value. What is the P-value for the test?  
A. 0.9641
B. 3.59
C. 96.41
D. 0.0359
Question 2 of 40
A nationwide study of American homeowners revealed that 65% have one or more lawn mowers. A lawn equipment manufacturer, located in Omaha, feels the estimate is too low for households in Omaha. Find the P-value for a test of the claim that the proportion with lawn mowers in Omaha is higher than 65%. Among 497 randomly selected homes in Omaha, 340 had one or more lawn mowers. Use Table 5.1 to find the best answer.
A. 0.0559
B. 0.1118
C. 0.0252
D. 0.0505
Question 3 of 40
A right-tailed test is conducted at the 5% significance level. Which of the following z-scores is the smallest one in absolute value that leads to rejection of the null hypothesis?  
A. 1.61
B. 1.85
C. -1.98
D. -2.06
Question 4 of 40
A study of a brand of “in the shell peanuts” gives the following results:
A significant event at the 0.01 level is a fan getting a bag with how many peanuts?
A. 30 peanuts
B. 25 or 30 peanuts
C. 25 or 55 peanuts
D. 25 peanuts
Question 5 of 40
The principal of a middle school claims that annual incomes of the families of the seventh-graders at his school vary more than the annual incomes of the families of the seventh-graders at a neighboring school, which have variation described by s = $13,700. Assume that a hypothesis test of the claim has been conducted and that the conclusion of the test was to reject the null hypothesis. Identify the population to which the results of the test apply.
A. The current seventh graders at the principal’s school
B. Seventh graders’ families at the school with a standard deviation of $13,700
C. All of the families of the class of seventh graders at the principal’s school
D. All seventh graders’ families
Question 6 of 40
A two-tailed test is conducted at the 5% significance level. What is the P-value required to reject the null hypothesis?
A. Greater than or equal to 0.10
B. Less than or equal to 0.05
C. Less than or equal to 0.10
D. Greater than or equal to 0.05
Question 7 of 40
A consumer advocacy group claims that the mean amount of juice in a 16
ounce bottled drink is not 16 ounces, as stated by the bottler.
Determine the null and alternative hypotheses for the test described.
A. H0: µ = 16 ounces Ha: µ < 16 ounces
B. H0: µ ¹ 16 ounces Ha: µ = 16 ounces
C. H0: µ = 16 ounces Ha: µ > 16 ounces
D. H0: µ = 16 ounces Ha: µ ¹ 16 ounces
Question 8 of 40
A long-distance telephone company claims that the mean duration of long-distance telephone calls originating in one town was greater than 9.4 minutes, which is the average for the state. Determine the conclusion of the hypothesis test assuming that the results of the sampling do not lead to rejection of the null hypothesis.
A. Conclusion: Support the claim that the mean is less than 9.4 minutes.
B. Conclusion: Support the claim that the mean is greater than 9.4 minutes.
C. Conclusion: Support the claim that the mean is equal to 9.4 minutes.
D. Conclusion: Do not support the claim that the mean is greater than 9.4 minutes.
Question 9 of 40
A consumer group claims that the mean running time for a certain type of flashlight battery is not the same as the manufacturer’s claims. Determine the null and alternative hypotheses for the test described.
A. H0: µ = Manufacturer’s claims Ha: µ < Manufacturer’s claims
B. H0: µ = Manufacturer’s claims Ha: µ ¹ Manufacturer’s claims
C. H0: µ = Manufacturer’s claims Ha: µ > Manufacturer’s claims
D. H0: µ ¹ Manufacturer’s claims Ha: µ = Manufacturer’s claims
Question 10 of 40
In 1990, the average duration of long-distance telephone calls originating in one town was 9.4 minutes. A long-distance telephone company wants to perform a hypothesis test to determine whether the average duration of long-distance phone calls has changed from the 1990 mean of 9.4 minutes. The mean duration for a random sample of 50 calls originating in the town was 8.6 minutes. Does the data provide sufficient evidence to conclude that the mean call duration, µ, is different from the 1990 mean of 9.4 minutes? Perform the appropriate hypothesis test using a significance level of 0.01. Assume that s = 4.8 minutes.
A. With a z of -1.2 there is sufficient evidence to conclude that the mean
value has changed from the 1990 mean of 9.4 minutes.
B. With a P-value of 0.2302 there is not sufficient evidence to conclude
that the mean value is less than the 1990 mean of 9.4 minutes.
C. With a P-value of 0.2302 there is sufficient evidence to conclude that
the mean value is less than the 1990 mean of 9.4 minutes.
D. With a z of –1.2 there is not sufficient evidence to conclude that the
mean value has changed from the 1990 mean of 9.4 minutes.

Question 11 of 40
A researcher claims that the amounts of acetaminophen in a certain brand of cold tablets have a mean different from the 600 mg claimed by the manufacturer. Test this claim at the 0.02 level of significance. The mean acetaminophen content for a random sample of n = 41 tablets is 603.3 mg. Assume that the population standard deviation is 4.9 mg.
A. Since the test statistic is greater than the critical z, there is sufficient evidence to accept the null hypothesis and to support the claim that the mean content of acetaminophen is 600 mg.
B. Since the test statistic is greater than the critical z, there is sufficient evidence to reject the null hypothesis and to support the claim that the mean content of acetaminophen is not 600 mg.
C. Since the test statistic is less than the critical z, there is sufficient evidence to reject the null hypothesis and to support the claim that the mean content of acetaminophen is not 600 mg.
D. Since the test statistic is greater than the critical z, there is insufficient evidence to reject the null hypothesis and to support the claim that the mean content of acetaminophen is not 600 mg.
Question 12 of 40
A poll of 1,068 adult Americans reveals that 52% of the voters surveyed prefer the Democratic candidate for the presidency. At the 0.05 significance level, test the claim that more than half of all voters prefer the Democrat.
A. Reject the null hypothesis. Conclude that there is insufficient evidence that more than half of all voters prefer Democrats.
B. Do not reject the null hypothesis. Conclude that there is sufficient evidence that more than half of all voters prefer Democrats.
C. Reject the null hypothesis. Conclude that there is sufficient evidence that more than half of all voters prefer Democrats.
D. Do not reject the null hypothesis. Conclude that there is insufficient evidence that more than half of all voters prefer Democrats.
Question 13 of 40
A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The mean volume of juice for a random sample of 70 bottles was 15.94 ounces. Do the data provide sufficient evidence to conclude that the mean amount of juice for all 16-ounce bottles, µ, is less than 16.1 ounces? Perform the appropriate hypothesis test using a significance level of 0.10. Assume that s = 0.9 ounces.  
A. The z of - 1.49 provides sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
B. The z of - 1.49 does not provide sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
C. The z of - 0.1778 does not provide sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
D. The z of - 0.1778 provides sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.
Question 14 of 40
In the past, the mean running time for a certain type of flashlight battery has been 9.8 hours. The manufacturer has introduced a change in the production method and wants to perform a hypothesis test to determine whether the mean running time has increased as a result. The hypotheses are:
H0 : µ = 9.8 hours
Ha : µ > 9.8 hours
Suppose that the results of the sampling lead to rejection of the null hypothesis. Classify that conclusion as a Type I error, a Type II error, or a correct decision, if in fact the mean running time has not increased.
A. Type I error
B. Type II error
C. Correct decision
D. Can not be determined from this information
Question 15 of 40
The owner of a football team claims that the average attendance at home games is over 3000, and he is therefore justified in moving the team to a city with a larger stadium. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in non-technical terms.
A. There is sufficient evidence to support the claim that the mean attendance is greater than 3000.
B. There is sufficient evidence to support the claim that the mean attendance is equal to 3000.
C. There is not sufficient evidence to support the claim that the mean attendance is greater than 3000.
D. There is not sufficient evidence to support the claim that the mean attendance is less than 3000.
Question 16 of 40
A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO is less than 1 in every one thousand. State the null hypothesis and the alternative hypothesis for a test of significance.
A. H0: p = 0.001 Ha: p > 0.001
B. H0: p = 0.001 Ha: p < 0.001
C. H0: p > 0.001 Ha: p = 0.001
D. H0: p < 0.001 Ha: p = 0.001
Question 17 of 40
At one school, the mean amount of time that tenth-graders spend watching television each week is 18.4 hours. The principal introduces a campaign to encourage the students to watch less television. One year later, the principal wants to perform a hypothesis test to determine whether the average amount of time spent watching television per week has decreased.
Formulate the null and alternative hypotheses for the study described.
A. Ho: µ = 18.4 hours H a : µ ¹ 18.4 hours
B. Ho: µ = 18.4 hours H a : µ < 18.4 hours
C. Ho: µ ³ 18.4 hours H a : µ < 18.4 hours
D. Ho: µ = 18.4 hours H a : µ > 18.4 hours
Question 18 of 40
without computing a P-value, determine whether the alternate hypothesis is supported and give a reason for your conclusion.
A. is less than 1 standard deviation above the claimed mean.
B. is more than 4 standard deviations above the claimed mean.
C. is less than 1 standard deviation above the claimed mean.
D. is more than 4 standard deviations above the claimed mean.

Question 19 of 40
A psychologist claims that more than 29 percent of the professional population suffers from problems due to extreme shyness. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in non-technical terms.
A. There is sufficient evidence to support the claim that the true proportion is less than 29 percent.
B. There is not sufficient evidence to support the claim that the true proportion is greater than 29 percent.
C. There is sufficient evidence to support the claim that the true proportion is equal to 29 percent.
D. There is sufficient evidence to support the claim that the true proportion is greater than 29 percent.
Question 20 of 40
A two-tailed test is conducted at the 5% significance level. Which of the z-scores below is the smallest one that leads to rejection of the null hypothesis?
A. 1.12
B. 1.48
C. 1.84
D. 2.15

Question 21 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent.
The critical value of X2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of the X2 statistic is 4.613, state your conclusion about the relationship between gender and colorblindness.
A. Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
B. Reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
C. Do not Reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
D. Do not Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
Question 22 of 40
A large test statistic F tells us that the sample means __________ the data within the individual samples, which would be unlikely if the populations means really were equal (as the null hypothesis claims).
A. differ more than
B. differ less than
C. are equal to
D. do not vary with
Question 23 of 40
A 95% confidence interval for the mean of a normal population is found to be 15.6 < µ < 24.8. What is the margin of error?
A. 4.4
B. 4.6
C. 4.8
D. 5.0

Question 24 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent.
The critical value of X2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of the X2 statistic is 3.427, state your conclusion about the relationship between gender and colorblindness.
A. Do not reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
B. Do not reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
C. Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.
D. Reject H0. There is sufficient evidence to support the claim that gender and colorblindness are related.
Question 25 of 40
The margin of error in estimating the population mean of a normal population is E = 9.3 when the sample size is 15. If the sample size had been 18 and the sample standard deviation did not change, would the margin of error be larger or smaller than 9.3? Explain your answer.
A. Smaller. E decreases as the square root of the sample size gets larger.
B. Smaller. E increases as the square root of the sample size gets larger.
C. Larger. E decreases as the square root of the sample size gets larger.
D. Larger. E increases as the square root of the sample size gets larger.

Question 26 of 40
The following data were analyzed using one-way analysis of variance.
A B C
34 27 19
26 23 31
31 29 22
28 21 22
Which one of the following statements is correct?
A. The purpose of the analysis is to determine whether the groups A, B, and C are independent.
B. The purpose of the analysis is to test the hypothesis that the population means of the three groups are equal.
C. The purpose of the analysis is to test the hypothesis that the population variances of the three groups are equal.
D. The purpose of the analysis is to test the hypothesis that the sample means of the three groups are equal.
Question 27 of 40
Which of the following statements is true?
A. The t distribution can be used when finding a confidence interval for the population mean whenever the sample size is small.
B. The p distribution can be used when finding a confidence interval for the population mean whenever the sample size is small.
C. The t distribution cannot be used when finding a confidence interval for the population mean whenever the sample size is small.
D. The p distribution cannot be used when finding a confidence interval for the sample mean whenever the sample size is small.
Question 28 of 40
The __________ test statistic is for the one-way analysis of variance.
A. P-Value
B. t
C. F
D. p
Question 29 of 40
Which of the following statements is true?
A. The t distribution cannot be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
B. The t distribution can be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
C. The p distribution can be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
D. The p distribution can be used when finding a confidence interval for the population mean with a small sample whenever the sample comes from a symmetric population.
Question 30 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 8 52 60
Female 2 38 40
Total 10 90 100
If gender and colorblindness are independent, find the expected values corresponding to the four combinations of gender and colorblindness, and enter them in the following table along with row and column totals.
Colorblind Not Colorblind Total
Male
Female
Total
A. Male Colorblind 6.0; Male Not Colorblind 54.0
B. Male Colorblind 7.0; Male Not Colorblind 53.0
C. Male Colorblind 8.0; Male Not Colorblind 52.0
D. Male Colorblind 6.0; Male Not Colorblind 53.0
Question 31 of 40 0.0/ 2.5 Points
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 7 53 60
Female 1 39 40
Total 8 92 100
State the null and alternative hypothesis for the information above.
A.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are related in some way.
B.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are not related in any way.
C.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are not related in any way.
D.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are related in some way.
Question 32 of 40
A golfer wished to find a ball that would travel more than 170 yards when hit with his 6-iron with a club head speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 12 times at the required speed. State the null and alternative hypotheses for this test.
A. H0: µ > 170; Ha: µ = 170
B. H0: µ < 170; Ha: µ = 170
C. H0: µ = 170; Ha: µ > 170
D. H0: µ = 160; Ha: µ > 160

Question 33 of 40
A golfer wished to find a ball that would travel more than 180 yards when hit with his 5-iron with a club speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 7 times at the required speed.
Data from this test resulted in a sample mean of 184.2 yards and a sample standard deviation of 5.8 yards. Assuming normality, carry out a hypothesis test at the 0.05 significance level to determine whether the ball meets the golfer’s requirements. Use the partial t-table below.
Area in one tail
0.025 0.05
Area in two tails
Degrees of
Freedom
n - 1 0.05 0.10
6 2.447 1.943
7 2.365 1.895
8 2.306 1.860
9 2.262 1.833
A. Reject the null hypothesis. The data do not provide sufficient evidence that the average distance is greater than 180 yards.
B. Reject the null hypothesis. The data do provide sufficient evidence that the average distance is greater than 180 yards.
C. Do not reject the null hypothesis. The data do provide sufficient evidence that the average distance is greater than 180 yards.
D. Do not reject the null hypothesis. The data do not provide sufficient evidence that the average distance is greater than 180 yards.

Question 34 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 8 52 60
Female 2 38 40
Total 10 90 100
State the null and alternative hypothesis for the test associated with this data.
A.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are not related in any way.
B.
H0: Colorblindness and gender are dependent characteristics.
Ha: Colorblindness and gender are related in some way.
C.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are not related in any way.
D.
H0: Colorblindness and gender are independent characteristics.
Ha: Colorblindness and gender are related in some way.
Question 35 of 40
A 95% confidence interval for the mean of a normal population is found to be 17.6 < µ < 23.6. What is the margin of error?
A. 2.0
B. 2.7
C. 3.0
D. 4.0

Question 36 of 40
One hundred people are selected at random and tested for colorblindness to determine whether gender and colorblindness are independent. The following counts were observed.
Colorblind Not Colorblind Total
Male 7 53 60
Female 1 39 40
Total 8 92 100
Find the value of the X2 statistic for the data above.
A. 1.325
B. 1.318
C. 1.286
D. 1.264
            None of the above answer choices is correct. This has been a chronic issue
            with this problem set.
Question 37 of 40
A golfer wished to find a ball that would travel more than 160 yards when hit with his 7-iron with a club speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 8 times at the required speed.
Data from this test resulted in a sample mean of 163.2 yards with a sample standard deviation of 5.8 yards. Assuming normality, carry out a hypothesis test at the 0.05 significance level to determine whether the ball meets the golfer’s requirements. Use the partial t-table below to solve this problem.
A. Do not reject the null hypothesis. The data do not provide sufficient
evidence that the average distance is greater than 160 yards.
B. Reject the null hypothesis. The data does provide sufficient evidence that the average distance is greater than 160 yards.
C. t= 1.2334; Critical value = 1.992
D. Insufficient information to answer this question.
Question 38 of 40
A 95% confidence interval for the mean of a normal population is found to be 15.6 < µ < 25.2. What is the margin of error?
A. 3.9
B. 4.8
C. 4.9
D. 3.7
Question 39 of 40
A 95% confidence interval for the mean of a normal population is found to be 13.2 < µ < 22.4. What is the margin of error?
A. 4.6
B. 4.4
C. 4.2
D. 5.6
Question 40 of 40
A simple random sample from a normal distribution is taken in order to obtain a 95% confidence interval for the population mean. If the sample size is 8, the sample mean x̄ is 22, and the sample standard deviation s is 6.3, what is the margin of error? Show your answer to 2 decimal places.
A. df = 7; E = 3.3445.38 = 5.6566
B. df = 8; E = 3.3445.38 = 5.6566
C. df = 6; E = 2.3656.38 = 5.769
D. df = 7; E = 2.3656.38 = 5.869

default image
Essay (any type)
August 22, 2022
    

They have a magnificent team. These people are always kind and willing to listen to your concerns or issues. Better yet, your assignment is always ready before the time, they usually send you a draft to double-check before they finalize your paper.

 

default image
Customer #32567
Zoology, 8 Pages
Case study
August 22, 2022
    

Completed quickly and followed instructions given. Grammar, spelling, etc. was all good as well. Thank you so much! Will hire in the future.

default image
Customer #30093
Biology (and other Life Sciences), 6 pages
Presentation/PPT
August 22, 2022
    

The work has not been graded but I like the output that was submitted to me. Is it possible for the same prof to do the next assignment I will be submitting? If possible, I will greatly appreciate it.

default image
Customer #37612
Computer science, 8 pages
Journal article
August 22, 2022
    

My third using this writer and absolutely amazing work! Very punctual and very understanding.

default image
Customer #34820
Agriculture, 4 pages
Article
August 22, 2022
    

Outstanding job in writing my paper. I am always thrill to receive a well written paper that follows the instructions and the thorough details put into my paper. The quality of this paper is beyond awesome. Thank you so much.

default image
Customer #17907
Technology, 5 pages
Thesis/Thesis chapter
August 22, 2022
    

I absolutely love this writer! He/she always cranks out a fabulous paper and follows the assignment guidelines/instructions perfectly. Thanks again for always providing such quality work!!!

default image
Customer #32146
Economics, 9 pages
Research paper
August 22, 2022
    

It took some time to achieve the product I was looking for, but we eventually got there. I do feel like a lot of hard work was put into this, and it even exceeded the page requirement. I'm pretty pleased overall. I give my thanks.

default image
Customer #22371
Ecology, 5 pages
Lab Report
August 22, 2022
    

Outstanding work! This writer followed every instruction and my paper came back with an A! I recommend to anyone needing help! Thank you again ❤️

default image
Customer #13712
Nursing, 6 pages
Outline
August 22, 2022
    

Outstanding job in writing my paper. I am always thrill to receive a well written paper that follows the instructions and the thorough details put into my paper. The quality of this paper is beyond awesome. Thank you so much.

default image
Customer #267302
IT, Web, 6 pages
Essay (any type)
August 22, 2022
    

Made 100% on both the outline and the paper. Quick turnaround time and my writer responded within 30 min or less. Any edits my instructor needed, my writer was patient and worked diligently to accomplish the task. Would recommend my writer to anyone!

default image
Customer #14472
International Trade, 8 pages
Essay (any type)
August 5, 2021
    

You are making my life so much easier! I am a single mom that works and goes to school. You guys are helping me with my projects so I can have more free time with my son.

default image
customer #13832
Tourism, 3 pages
Annotated Bibliography
August 5, 2021
    

I was sure it can fit in a single page but the next time I will add one more page because I am impressed with your professionalism and quality. Will use many more times till I graduate.

default image
customer #12008
Management, 7 pages
Essay (any type)
August 5, 2021
    

Simple registration and quality services. I just ordered one paper, and it was good enough to pass the exam. That is what I need the most. Good job.

default image
customer #16257
Communication, 4 pages
Research Proposal
August 5, 2021
    

I couldn’t finish my freaking essay, and I was very desperate. A friend of mine sent me a link, and that is how I found out about you guys. Thank you for professional tips and editing. Now, I understand how to write it properly.

default image
customer #17128
Law, 5 pages
Reflection
August 5, 2021
    

I’m so grateful to you since you managed to complete my term paper in one day! You are definitely the best company ever!

default image
customer #16528
Public Relations, 7 pages
Essay (any type)
August 5, 2021
    

I am sure on your ability to provide any type of paper I will order. I wish I could develop that skill your writers have to be able to have a flow of ideas and excellent sequencing of thoughts in writing.

default image
customer #19552
Medicine, 5 pages
Coursework
August 5, 2021
    

I ordered a thesis paper and was satisfied. All the guys were polite and highly professional, even when I wrote to them several times per day. Thanks for your passion!

default image
customer #20376
Nursing, 6 pages
Discussion Essay
August 5, 2021
    

I turned to the service twice, and my papers always were beyond the expectations. To tell the truth, I was ready to find some grammar errors or something like that. However, everything was neat and tidy.

default image
customer #18529
Marketing, 1 page
August 5, 2021

My friend recommended Doctor My Essay to me. It is convenient! Now we both turn to the service periodically coz wanna save some time and use it more effectively. I know that while I’m developing my startup, an expert is working on paper. Time management in work!

default image
Research Paper
August 5, 2021
    

I write all paper works by myself but have some problems with literacy. Actually, I have enormous problems because English is not my native language. However, with proofreading from Doctor My Essay, I can relax and don’t be ashamed of mistakes.

default image
customer #12924
Business, 7 pages
Argumentative Essay
August 5, 2021
    

Your ability to write concisely is a finding. The paper has a solid argument. It’s clear that the writer understood central claim about the topic. He also presented original ideas to consider.

default image
customer #19304
Management, 3 pages
Coursework
August 5, 2021
    

That paper got the highest grade in my class and the professor thinks I’m the smartest student. Lol.

default image
customer #12387
Accounting, 6 pages
Essay (any type)
August 5, 2021
    

I was convinced that paper writing services are the fiction for naive students. But when it came to my research paper that was to be composed in 72 hours, I had no other options. I made the right choice when I ordered it from you!

default image
customer #12924
Ethics, 4 pages
Business Plan
August 5, 2021
    

I was also satisfied with the service. Usually, I write everything by myself, but this time ( I have no idea how it happens!) I missed the deadline. My writer was very responsible, wrote the essay quickly, and kept the instructions. Nice to know that such experts exist!

default image
customer #15677
Marketing, 10 pages
Annotated Bibliography
August 5, 2021
    

It is really affordable! The prices start from 9$, which is an excellent proposal on the market. Recently I worked with another service that took much more money and provided lower quality papers.

default image
customer #11234
Sociology, 9 pages
Research proposal
August 5, 2021
    

I am absolutely satisfied. I am first timer here. Revision was made quickly, and the author met my expectations. Thanks a lot. Paper is phenomenal.

default image
customer #15327
Economics, 5 pages
Essay (any type)
August 5, 2021
    

Having heard a lot of negative reviews about such services, I was a bit skeptical. However, our cooperation with Doctor My Essay was without pitfalls. I made two comments about the final work, and they re-wrote some parts very promptly. I am satisfied and will turn to them in the future.

default image
customer #17823
Human Resource Management, 2 pages
Research paper
August 5, 2021
    

It was my first experience in online ordering, and I was a bit nervous. However, this was for nothing. I’ve got a high mark!

default image
customer #12372
Public Relations, 3 pages
Dissertation
August 5, 2021
    

I understand that buying essays is a doubtful thing. You don’t put effort, don’t represent your ideas… However, I don’t perceive Doctor My Essay as a standard service. They don’t sell papers. They share high expertise!

default image
customer #12376
Journal article, 20 pages
Coursework
August 5, 2021
    

According to my previous experience, this service is really the best. They support the client and have competitive writers. I give them a perfect score!

default image
customer #19266
Political Science, 6 pages
Admission Essay
August 5, 2021
    

Nice service! It is cool that you can use the calculator on the main page and understand the price policy. For me, it is a huge plus!

default image
customer #11437
Tourism, 1 page
Discussion Essay
August 5, 2021
    

Thanks to God I found this service! If I didn’t send my research to the teacher on time, he would eat me. I tell you! However, with doctor my essay service, I met the deadline, and I am still alive.

default image
customer #12692
Philosophy, 5 pages
Report
August 5, 2021
    

Your service is excellent! Convenient and not expensive. Thanks for that!

default image
customer #10923
Psychology, 4 pages
Essay (any type)
August 5, 2021
    

If you have problems with time management, just like me, you need to cooperate with Doctor My Essay. Once you registered and made the order, you understand how easier it makes your life! Everything is online: ordering, communication… You can control the process everywhere and be sure that an expert will provide a high-level paper.

default image
customer #17823
Business, 8 pages

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
$26
The price is based on these factors:
Academic level
Number of pages
Urgency
Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Read more

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Read more

Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

Read more

Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

Read more