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##### Learning Outcome Statements
 1. The Process of Hypothesis Testingexplain hypothesis testing and its components, including statistical significance, Type I and Type II errors, and the power of a test 2. Null Hypothesis and Alternative Hypothesisexplain hypothesis testing and its components, including statistical significance, Type I and Type II errors, and the power of a test 3. Test Statistic and Significance Levelexplain hypothesis testing and its components, including statistical significance, Type I and Type II errors, and the power of a test 4. Type I and Type II Errors in Hypothesis Testingexplain hypothesis testing and its components, including statistical significance, Type I and Type II errors, and the power of a test 5. The Power of a Testexplain hypothesis testing and its components, including statistical significance, Type I and Type II errors, and the power of a test 6. The Decision Ruleexplain hypothesis testing and its components, including statistical significance, Type I and Type II errors, and the power of a test 7. Test of a Single Meanconstruct hypothesis tests and determine their statistical significance, the associated Type I and Type II errors, and power of the test given a significance level 8. Tests Concerning Differences between Means with Independent Samplesconstruct hypothesis tests and determine their statistical significance, the associated Type I and Type II errors, and power of the test given a significance level 9. Tests Concerning Differences between Means with Dependent Samplesconstruct hypothesis tests and determine their statistical significance, the associated Type I and Type II errors, and power of the test given a significance level 10. Testing Concerning Tests of Variances (Chi-Square Test)construct hypothesis tests and determine their statistical significance, the associated Type I and Type II errors, and power of the test given a significance level 11. Tests Concerning the Equality of Two Variances (F-Test)construct hypothesis tests and determine their statistical significance, the associated Type I and Type II errors, and power of the test given a significance level 12. Parametric vs. NonParametric Testscompare and contrast parametric and nonparametric tests, and describe situations where each is the more appropriate type of test
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