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Question : 92) Under which of the following conditions will a profit-maximizing : 1241195

Economics

 

92) Under which of the following conditions will a profit-maximizing perfectly competitive firm shut down in the short run?

A) when it is making a normal profit

B) whenever its marginal cost is less than its marginal revenue

C) when the price is less than its minimum average variable cost

D) whenever its total cost is greater than its total revenue

E) when the price is less than its minimum average total cost

 

93) A perfectly competitive firm will continue to operate in the short run when the market price is below its average total cost if the

A) marginal revenue is greater than marginal cost.

B) price is at least equal to the minimum average variable cost.

C) total fixed costs are less than total revenue.

D) marginal cost is minimized.

E) price is also less than the minimum average variable cost.

 

94) If the price is less than a perfectly competitive firm’s minimum average variable cost, the firm

A) makes an economic profit.

B) operates and incurs an economic loss equal to total fixed cost.

C) operates and incurs an economic loss equal to average variable cost.

D) shuts down and incurs an economic loss equal to total fixed cost.

E) shuts down and incurs an economic loss equal to average variable cost.

95) Which of the following is true if a firm shuts down?

i.The price is less than minimum average variable cost.

ii.The firm is able to avoid an economic loss.

iii.The firm incurs a loss equal to its total variable cost.

A) i only

B) i and ii

C) i and iii

D) iii only

E) ii only

 

96) If the market price is $50 for a unit of a good produced in a perfectly competitive market and the firm’s minimum average variable cost is $52, then to maximize its profit (or minimize its loss) the firm should

A) definitely produce the unit.

B) shut down.

C) not produce the unit but remain open.

D) not produce the unit. Whether the firm should shut down or remain open cannot be determined without more information.

E) produce the unit only if the price exceeds the average fixed cost.

 

97) Suppose a perfectly competitive firm’s minimum average variable cost is $3 when it produces 50. If the price is $2 and the firm’s marginal cost is $2, the firm should

A) continue to produce, but produce more than 50.

B) continue to produce 50.

C) continue to produce, but produce less than 50.

D) shut down.

E) continue to operate, but to determine the amount of production needs more information than is given.

98) Under what conditions would a perfectly competitive cotton farmer who is incurring an economic loss temporarily stay in business?

A) if the total revenue exceeds the total fixed cost

B) if the total revenue exceeds the total variable cost

C) if the total revenue is positive

D) if the total revenue is increasing

E) if the marginal revenue exceeds the price.

 

99) The largest loss a profit-maximizing perfectly competitive firm can incur in the short run equals its

A) average variable cost multiplied by output.

B) total fixed cost.

C) marginal cost multiplied by the number of units produced.

D) average total cost multiplied by the number of units produced.

E) total variable cost.

 

100) The rutabaga market is perfectly competitive and the price of a ton of rutabagas rises. As a result, Rudy, a rutabaga farmer, will

A) decrease his output of rutabagas.

B) not change his output of rutabagas because Rudy’s firm is a price taker.

C) increase his output of rutabagas.

D) at first decrease and then increase his output of rutabagas.

E) probably change his output of rutabagas, but more information is needed about the change in the marginal revenue of a ton of rutabagas.

101) A perfectly competitive firm’s short-run supply curve is

A) horizontal at the market price.

B) its total cost curve above the AVC.

C) its marginal cost curve below the marginal revenue curve.

D) its marginal cost curve above the AVC curve.

E) its marginal revenue curve below the ATC curve.

 

 

 

 

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July 1, 2023
    

  

t Tests and ANOVA in Clinical Practice

Inferential statistics enable researchers to apply the data they gather and the conclusions they draw from a particular sample to a larger population. As the name implies, inferential statistics focus on inferring whether there is a relationship between two or more variables. These statistical analyses include t tests and analysis of variance (ANOVA). t Tests are part of a group of statistical tests that test hypotheses; in fact, it is necessary to formulate a hypothesis in order to use a t test, because the results of the test can only be interpreted in the context of a scientific hypothesis.

Inferential statistics such as t tests work well for comparing two groups. Although mathematically equivalent to the t test, ANOVA allows for the comparison of more than two groups. Therefore, when three or more groups are involved, the ANOVA should be used.

In this week’s Discussion, you are asked to locate a current research article that utilizes either a t

test or ANOVA analysis. You provide a summary of the research study and of the study’s application to evidence-based practice. You also examine the article’s use of a t test or ANOVA and how either of those statistical analysis tools helped to inform the article’s conclusions and recommendations.

To prepare:

  • Consider      some of the important issues in health care delivery or nursing practice      today. Bring to mind the topics to which you have been exposed through      previous courses in your program of study, as well as any news items that      have caught your attention recently. Select one topic to consider for this      Discussion.
  • Next,      review journal, newspaper, and Internet articles that provide credible      information on your topic (you can choose any nursing topic from or any other nursing related issue that will be easy to      locate a scholarly research article on which uses a ) 
  • Then,      select one research article on which to focus that used inferential statistical      analysis (either a t test or      ANOVA) to study the topic.
  • With      information from the Learning Resources in mind, evaluate the purpose and      value of the research study discussed in your selected article and      consider the following questions:
  • Who       comprised the sample in this study?
  • What       were the sources of data?
  • What       inferential statistic was used to analyze the data collected (t test       or ANOVA)?
  • What       were the findings?
  • Ask      yourself: How did using an inferential statistic bring value to the      research study? Did it increase the study’s application to evidence-based      practice?

By tomorrow Wednesday 09/27/17, 8 pm, write a minimum of 550 words essay in APA format with a minimum of 3 references from the list in the instructions area. Include the level one headings as numbered below:

Post a cohesive response that addresses the following:

1) Identify the topic you selected in the first line of your posting. (you can choose any nursing topic from or any other nursing related issue that will be easy to locate a scholarly research article on which uses a )

2) Summarize the study discussed in your selected research article and provide a complete APA citation. Include in your summary the sample, data sources, inferential statistic utilized, and findings.

3) Evaluate the purpose and value of this particular research study to the topic.

4) Did using inferential statistics strengthen or weaken the study’s application to evidence-based practice? 

Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns, and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

This excerpt elaborates on how statistics are used to examine causality using procedures such as contingency tables, chi-squares, t tests, and analysis of variance (ANOVA).

This chapter discusses inferential statistics, sampling error, sampling distributions, and the laws of probability. The chapter also introduces key terms such as standard error of mean, hypothesis testing, and parametric test.

This chapter considers the various forms of the t test, including the two-sample t test, Kolmogrov-Smirnov test, independent groups t test, and dependent groups t test. The chapter also discusses the many variables involved in these tests such as effect size, meta-analysis, and Cohen’s d.

Chapter 7, “Analysis of Variance” (pp. 137–146 and 155–158)

The first part of this chapter introduces the basic assumptions, requirements, general logic, and terminology surrounding analysis of variance (ANOVA). The second excerpt focuses on sampling distribution of the F ratio and the null and alternative hypotheses.

Jadcherla, S. R., Wang, M., Vijayapal, A. S., & Leuthner, S. R. (2010). Impact of prematurity and co-morbidities on feeding milestones in neonates: A retrospective study. Journal of Perinatology, 30(3), 201–208. doi:10.1038/jp.2009.149

This article outlines the procedures and results of a retrospective study of how perinatal and comorbidity factors affect the rate at which infants meet feeding milestones. The article also includes an application of inferential statistics to the results of the study.

Shin, J. H. (2009). Application of repeated-measures analysis of variance and hierarchical linear model in nursing research. Nursing Research, 58(3), 211–217. doi:10.1097/NNR.0b013e318199b5ae

Walden University. (n.d.). Analysis of variance. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_analysis_of_variance_anova.html

Walden University. (n.d.). Inferential statistics. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_inferential_stats_and_hypothesis_testing.html

Walden University. (n.d.). t-Tests. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_ttests.html

default image
July 1, 2023
    

  

t Tests and ANOVA in Clinical Practice

Inferential statistics enable researchers to apply the data they gather and the conclusions they draw from a particular sample to a larger population. As the name implies, inferential statistics focus on inferring whether there is a relationship between two or more variables. These statistical analyses include t tests and analysis of variance (ANOVA). t Tests are part of a group of statistical tests that test hypotheses; in fact, it is necessary to formulate a hypothesis in order to use a t test, because the results of the test can only be interpreted in the context of a scientific hypothesis.

Inferential statistics such as t tests work well for comparing two groups. Although mathematically equivalent to the t test, ANOVA allows for the comparison of more than two groups. Therefore, when three or more groups are involved, the ANOVA should be used.

In this week’s Discussion, you are asked to locate a current research article that utilizes either a t

test or ANOVA analysis. You provide a summary of the research study and of the study’s application to evidence-based practice. You also examine the article’s use of a t test or ANOVA and how either of those statistical analysis tools helped to inform the article’s conclusions and recommendations.

To prepare:

  • Consider      some of the important issues in health care delivery or nursing practice      today. Bring to mind the topics to which you have been exposed through      previous courses in your program of study, as well as any news items that      have caught your attention recently. Select one topic to consider for this      Discussion.
  • Next,      review journal, newspaper, and Internet articles that provide credible      information on your topic (you can choose any nursing topic from or any other nursing related issue that will be easy to      locate a scholarly research article on which uses a ) 
  • Then,      select one research article on which to focus that used inferential statistical      analysis (either a t test or      ANOVA) to study the topic.
  • With      information from the Learning Resources in mind, evaluate the purpose and      value of the research study discussed in your selected article and      consider the following questions:
  • Who       comprised the sample in this study?
  • What       were the sources of data?
  • What       inferential statistic was used to analyze the data collected (t test       or ANOVA)?
  • What       were the findings?
  • Ask      yourself: How did using an inferential statistic bring value to the      research study? Did it increase the study’s application to evidence-based      practice?

By tomorrow Wednesday 09/27/17, 8 pm, write a minimum of 550 words essay in APA format with a minimum of 3 references from the list in the instructions area. Include the level one headings as numbered below:

Post a cohesive response that addresses the following:

1) Identify the topic you selected in the first line of your posting. (you can choose any nursing topic from or any other nursing related issue that will be easy to locate a scholarly research article on which uses a )

2) Summarize the study discussed in your selected research article and provide a complete APA citation. Include in your summary the sample, data sources, inferential statistic utilized, and findings.

3) Evaluate the purpose and value of this particular research study to the topic.

4) Did using inferential statistics strengthen or weaken the study’s application to evidence-based practice? 

Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns, and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

This excerpt elaborates on how statistics are used to examine causality using procedures such as contingency tables, chi-squares, t tests, and analysis of variance (ANOVA).

This chapter discusses inferential statistics, sampling error, sampling distributions, and the laws of probability. The chapter also introduces key terms such as standard error of mean, hypothesis testing, and parametric test.

This chapter considers the various forms of the t test, including the two-sample t test, Kolmogrov-Smirnov test, independent groups t test, and dependent groups t test. The chapter also discusses the many variables involved in these tests such as effect size, meta-analysis, and Cohen’s d.

Chapter 7, “Analysis of Variance” (pp. 137–146 and 155–158)

The first part of this chapter introduces the basic assumptions, requirements, general logic, and terminology surrounding analysis of variance (ANOVA). The second excerpt focuses on sampling distribution of the F ratio and the null and alternative hypotheses.

Jadcherla, S. R., Wang, M., Vijayapal, A. S., & Leuthner, S. R. (2010). Impact of prematurity and co-morbidities on feeding milestones in neonates: A retrospective study. Journal of Perinatology, 30(3), 201–208. doi:10.1038/jp.2009.149

This article outlines the procedures and results of a retrospective study of how perinatal and comorbidity factors affect the rate at which infants meet feeding milestones. The article also includes an application of inferential statistics to the results of the study.

Shin, J. H. (2009). Application of repeated-measures analysis of variance and hierarchical linear model in nursing research. Nursing Research, 58(3), 211–217. doi:10.1097/NNR.0b013e318199b5ae

Walden University. (n.d.). Analysis of variance. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_analysis_of_variance_anova.html

Walden University. (n.d.). Inferential statistics. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_inferential_stats_and_hypothesis_testing.html

Walden University. (n.d.). t-Tests. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_ttests.html

default image
July 1, 2023
    

  

t Tests and ANOVA in Clinical Practice

Inferential statistics enable researchers to apply the data they gather and the conclusions they draw from a particular sample to a larger population. As the name implies, inferential statistics focus on inferring whether there is a relationship between two or more variables. These statistical analyses include t tests and analysis of variance (ANOVA). t Tests are part of a group of statistical tests that test hypotheses; in fact, it is necessary to formulate a hypothesis in order to use a t test, because the results of the test can only be interpreted in the context of a scientific hypothesis.

Inferential statistics such as t tests work well for comparing two groups. Although mathematically equivalent to the t test, ANOVA allows for the comparison of more than two groups. Therefore, when three or more groups are involved, the ANOVA should be used.

In this week’s Discussion, you are asked to locate a current research article that utilizes either a t

test or ANOVA analysis. You provide a summary of the research study and of the study’s application to evidence-based practice. You also examine the article’s use of a t test or ANOVA and how either of those statistical analysis tools helped to inform the article’s conclusions and recommendations.

To prepare:

  • Consider      some of the important issues in health care delivery or nursing practice      today. Bring to mind the topics to which you have been exposed through      previous courses in your program of study, as well as any news items that      have caught your attention recently. Select one topic to consider for this      Discussion.
  • Next,      review journal, newspaper, and Internet articles that provide credible      information on your topic (you can choose any nursing topic from or any other nursing related issue that will be easy to      locate a scholarly research article on which uses a ) 
  • Then,      select one research article on which to focus that used inferential statistical      analysis (either a t test or      ANOVA) to study the topic.
  • With      information from the Learning Resources in mind, evaluate the purpose and      value of the research study discussed in your selected article and      consider the following questions:
  • Who       comprised the sample in this study?
  • What       were the sources of data?
  • What       inferential statistic was used to analyze the data collected (t test       or ANOVA)?
  • What       were the findings?
  • Ask      yourself: How did using an inferential statistic bring value to the      research study? Did it increase the study’s application to evidence-based      practice?

By tomorrow Wednesday 09/27/17, 8 pm, write a minimum of 550 words essay in APA format with a minimum of 3 references from the list in the instructions area. Include the level one headings as numbered below:

Post a cohesive response that addresses the following:

1) Identify the topic you selected in the first line of your posting. (you can choose any nursing topic from or any other nursing related issue that will be easy to locate a scholarly research article on which uses a )

2) Summarize the study discussed in your selected research article and provide a complete APA citation. Include in your summary the sample, data sources, inferential statistic utilized, and findings.

3) Evaluate the purpose and value of this particular research study to the topic.

4) Did using inferential statistics strengthen or weaken the study’s application to evidence-based practice? 

Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns, and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

This excerpt elaborates on how statistics are used to examine causality using procedures such as contingency tables, chi-squares, t tests, and analysis of variance (ANOVA).

This chapter discusses inferential statistics, sampling error, sampling distributions, and the laws of probability. The chapter also introduces key terms such as standard error of mean, hypothesis testing, and parametric test.

This chapter considers the various forms of the t test, including the two-sample t test, Kolmogrov-Smirnov test, independent groups t test, and dependent groups t test. The chapter also discusses the many variables involved in these tests such as effect size, meta-analysis, and Cohen’s d.

Chapter 7, “Analysis of Variance” (pp. 137–146 and 155–158)

The first part of this chapter introduces the basic assumptions, requirements, general logic, and terminology surrounding analysis of variance (ANOVA). The second excerpt focuses on sampling distribution of the F ratio and the null and alternative hypotheses.

Jadcherla, S. R., Wang, M., Vijayapal, A. S., & Leuthner, S. R. (2010). Impact of prematurity and co-morbidities on feeding milestones in neonates: A retrospective study. Journal of Perinatology, 30(3), 201–208. doi:10.1038/jp.2009.149

This article outlines the procedures and results of a retrospective study of how perinatal and comorbidity factors affect the rate at which infants meet feeding milestones. The article also includes an application of inferential statistics to the results of the study.

Shin, J. H. (2009). Application of repeated-measures analysis of variance and hierarchical linear model in nursing research. Nursing Research, 58(3), 211–217. doi:10.1097/NNR.0b013e318199b5ae

Walden University. (n.d.). Analysis of variance. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_analysis_of_variance_anova.html

Walden University. (n.d.). Inferential statistics. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_inferential_stats_and_hypothesis_testing.html

Walden University. (n.d.). t-Tests. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_ttests.html

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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.

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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.

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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.

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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.

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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.

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