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<strong>BSHS</strong> <strong>382</strong> <strong>Week</strong> 5 <strong>Team</strong> <strong>Assignment</strong> <strong>Statistics</strong> and Hypothesis Testing<br />
Presentation (3 Sets)<br />
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This Tutorial contains 3 Different Presentations<br />
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Prepare 聽 a 10- to 15-slide Microsoft 聽 PowerPoint 聽 presentation on statistics and<br />
hypothesis testing. For Local Campus students, this is an oral presentation accompanied by a<br />
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Microsoft 聽 PowerPoint 聽 presentation; for Online Campus and Directed Study students, this<br />
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is a Microsoft 聽 PowerPoint 聽 presentation with speaker notes.<br />
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As a Learning <strong>Team</strong>, use one of the following StatCrunch data sets from MyStatsLab :<br />
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Anorexia, as described on p. 383 of 聽 <strong>Statistics</strong><br />
FL Student Survey, as described on pp. 22 and 23 of 聽 <strong>Statistics</strong><br />
Georgia Student Survey, as described on pp. 22, 23, and 151 of 聽 <strong>Statistics</strong><br />
Olympic High Jump, as described on pp. 124, 125, and 128 of 聽 <strong>Statistics</strong><br />
Each Learning <strong>Team</strong> must work with a different data set, so check with the facilitator for your<br />
data set assignment. Refer to this course 鈥 檚 reading material and at least two scholarly sources<br />
from the University Library. Incorporate the following elements into your presentation:<br />
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Introduction<br />
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o<br />
Introduce the Learning <strong>Team</strong> members and the data set.<br />
Briefly explain how the data was gathered and identify the study population.<br />
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Descriptive <strong>Statistics</strong><br />
Define descriptive statistics and list the various descriptive measures.<br />
Explain how descriptive statistical analysis increases understanding of the data.<br />
Include an original graph created with StatCrunch that uses at least one descriptive<br />
statistical measure to illustrate the data set.<br />
Define statistical inference and include and explain at least one original inferential<br />
statistical calculation.<br />
Use StatCrunch to check the calculation and show the steps in your presentation.
Explain how inferential statistical analysis increases understanding of the data.<br />
Explain the purpose of null hypothesis testing and provide examples of null hypotheses<br />
that may be tested with the data set.<br />
Explain the logic of hypothesis testing and the role of the null hypothesis.<br />
Differentiate between descriptive and inferential statistics and how they support the<br />
human services research process.<br />
Provide an example of a study that is a logical follow-up to your data set that yields<br />
useful descriptive data.<br />
Provide an example of a study that is a logical follow-up to your data set that yields<br />
useful inferential statistics.<br />
Provide an example of a null hypothesis inspired by your data set that adds to the human<br />
services community 鈥 檚 knowledge.<br />
Inferential <strong>Statistics</strong><br />
Null Hypothesis Testing<br />
Implications for Future Research<br />
Conclusion and References<br />
Format 聽 your presentation consistent with APA guidelines.<br />
Click 聽 the <strong>Assignment</strong> Files tab to submit your assignment.<br />
Prepare 聽 to answer questions from your classmates and the facilitator and to discuss your<br />
presentation.