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Chapter 14 Conducting & Reading Research Baumgartner et al Chapter 14 Inferential Data Analysis.

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Presentation on theme: "Chapter 14 Conducting & Reading Research Baumgartner et al Chapter 14 Inferential Data Analysis."— Presentation transcript:

1 Chapter 14 Conducting & Reading Research Baumgartner et al Chapter 14 Inferential Data Analysis

2 Chapter 14 Conducting & Reading Research Baumgartner et al Two Independent Groups t Test Draw two samples from same population and administer different tests Draw a sample from each of two populations

3 Chapter 14 Conducting & Reading Research Baumgartner et al Is there a sex difference for alcohol intake in C57 strain of mice? Step 1: define hypotheses

4 Chapter 14 Conducting & Reading Research Baumgartner et al Is there a sex difference for alcohol intake in C57 strain of mice? Step 2: define alpha level

5 Chapter 14 Conducting & Reading Research Baumgartner et al Is there a sex difference for alcohol intake in C57 strain of mice? Step 3: Determine critical value Step 4: Conduct statistical test

6 Chapter 14 Conducting & Reading Research Baumgartner et al Is there a sex difference for alcohol intake in C57 strain of mice? Step 5: Accept or reject null hypothesis

7 Chapter 14 Conducting & Reading Research Baumgartner et al Two dependent Groups t Test Repeated measures design: Matched pairs design:

8 Chapter 14 Conducting & Reading Research Baumgartner et al Decision on Alternate Hypotheses and Alpha Level Remember to consider whether the test is one- or two-tailed Decision/ H 0 AcceptReject TrueGood decision FalseGood decision

9 Chapter 14 Conducting & Reading Research Baumgartner et al Decision on Alternate Hypotheses and Alpha Level Remember to consider whether the test is one- or two-tailed Decision/ H 0 AcceptReject TrueGood decisionType I error (False positive) FalseGood decision

10 Chapter 14 Conducting & Reading Research Baumgartner et al Decision on Alternate Hypotheses and Alpha Level Remember to consider whether the test is one- or two-tailed Decision/ H 0 AcceptReject TrueGood decisionType I error (False positive) FalseType II error (False negative) Good decision


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