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**BSHS 382 Week 5 Learning Team Statistics and Hypothesis Testing Presentation**

Discuss in 250 to 400 words the statistical analyses within the article. Does the article incorporate graphs or tables that facilitate understanding? Are the statistical analyses appropriate for the subject? Are they conducted correctly? Do they support the conclusions reached by the author or authors? Are there additional statistical analyses you may perform on this data to gain further knowledge? Are the statistics misleading or biased?

Prepare a 10- to 15-slide Microsoft^{®} PowerPoint^{®} presentation on statistics and hypothesis testing. This is a Microsoft^{®}PowerPoint^{®} presentation with speaker notes.

Anorexia, as described on p. 383 of *Statistics*

Enchiladas, as described on pp. 113 and 114 of *Statistics*

FL Student Survey, as described on pp. 22 and 23 of *Statistics*

Georgia Student Survey, as described on pp. 22, 23, and 151 of *Statistics*

Olympic High Jump, as described on pp. 124, 125, and 128 of *Statistics*

Introduction

Introduce the Learning Team members and the data set.

Briefly explain how the data was gathered and identify the study population.

Descriptive Statistics

Define descriptive statistics and list the various descriptive measures.

Explain how descriptive statistical analysis increases understanding of the data.

Include an original graph created with StatCrunch that uses at least one descriptive statistical measure to illustrate the data set.

Inferential Statistics

Define statistical inference and include and explain at least one original inferential statistical calculation.

Use StatCrunch to check the calculation and show the steps in your presentation.

Explain how inferential statistical analysis increases understanding of the data.

Null Hypothesis Testing

Explain the purpose of null hypothesis testing and provide examples of null hypotheses that may be tested with the data set.

Explain the logic of hypothesis testing and the role of the null hypothesis.

Implications for Future Research

Differentiate between descriptive and inferential statistics and how they support the human services research process.

Provide an example of a study that is a logical follow-up to your data set that yields useful descriptive data.

Provide an example of a study that is a logical follow-up to your data set that yields useful inferential statistics.

Provide an example of a null hypothesis inspired by your data set that adds to the human services community’s knowledge.

Conclusion and References

Format your presentation consistent with APA guidelines.

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