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Question : 78. Which of the following not recognized as a source of : 1229324

Accounting

 

 

78. Which of the following is not recognized as a source of generally accepted accounting principles? 
A. Widespread and long-term use of a particular practice.
B. The Financial Accounting Standards Board (FASB).
C. The American Institute of Certified Public Accountants (AICPA).
D. Statements of the Committee of Sponsoring Organizations (COSO).

 

79. In the phrase “generally accepted accounting principles,” the words generally accepted mean that the principles: 
A. Have been adopted by Congress or approved by the voters in a general election.
B. Are acceptable to the Internal Revenue Service.
C. Are understood and observed by all the participants in the financial reporting process.
D. Have been approved by a majority of the members of the Financial Accounting Standards Board.

 

80. An accounting principle must receive substantial authoritative support to qualify as generally accepted. Among the organizations and agencies that have been influential in the development of generally accepted accounting principles, which of the following has provided the most influential leadership? 
A. Internal Revenue Service.
B. Institute of Management Accountants.
C. Financial Accounting Standards Board.
D. New York Stock Exchange.

 

81. Which of the following has the least impact upon the reliability of financial statements issued by publicly owned corporations? 
A. Federal securities laws.
B. Professional judgment of the accountants who prepare the financial statements.
C. Audits of the financial statements by the Internal Revenue Service.
D. Competence and integrity of the CPAs who perform audits.

 

82. Which of the following is true? 
A. The existence of generally accepted accounting principles (GAAP) virtually eliminates the need for professional judgment except in very unusual circumstances.
B. Federal securities laws regarding the issuance of misleading financial statements apply not only to the independent auditors, but to management of the company as well.
C. Attaining a passing score on the part of the Uniform CPA Examination that covers professional ethics is evidence of integrity and commitment to ethical conduct.
D. A professional accountant should resign his position rather than become involved in the distribution of financial statements indicating insolvency.

 

83. The work of accountants practicing in public accounting may best be described as: 
A. Providing various types of accounting services to a wide variety of clients.
B. Preparing income tax returns for individuals and small businesses.
C. Developing and interpreting information tailored to the needs of business managers.
D. Helping governmental agencies carry out their various regulatory responsibilities.

 

84. The primary function of external auditors is to: 
A. Express an opinion on the fairness and reliability of the company’s financial statements.
B. Determine the accuracy of the management reports.
C. Evaluate the efficiency of operations and the degree of compliance with management’s policies in all departments within a large organization.
D. Determine that financial statements and all special reports to management are prepared in conformity with generally accepted accounting principles.

 

85. Management accountants primarily are concerned with developing information: 
A. For use in income tax returns.
B. Suited to the needs of stockholders, creditors, and other external decision makers.
C. In conformity with generally accepted accounting principles.
D. Suited to the needs of decision makers within the organization.

 

86. The principal function of CPAs is to: 
A. Audit income tax returns to determine if taxpayers have underpaid their income taxes.
B. Conduct audits to determine whether the employees of a business are performing their jobs honestly and efficiently.
C. Advise individual investors on stock market investments.
D. Perform audits to determine the fairness and reliability of a company’s financial statements.

 

87. The best definition of an accounting system is: 
A. Journals, ledgers, and worksheets.
B. Manual or computer-based records used in developing information about an entity for use by managers and also persons outside the organization.
C. The personnel, procedures, devices, and records used by an entity to develop accounting information and communicate this information to decision makers.
D. The concepts, principles, and standards specifying the information which should be included in financial statements, and how that information should be presented.

 

 

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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

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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

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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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