- CFA Exams
- 2024 Level I
- Topic 1. Quantitative Methods
- Learning Module 8. Hypothesis Testing
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Learning Outcome Statements PDF Download
| 1. The Process of Hypothesis Testing explain 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 Hypothesis explain 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 Level explain 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 Testing explain 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 Test explain hypothesis testing and its components, including statistical significance, Type I and Type II errors, and the power of a test | |
| 6. The Decision Rule explain 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 Mean 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 | |
| 8. Tests Concerning Differences between Means with Independent Samples 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 | |
| 9. Tests Concerning Differences between Means with Dependent Samples 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 | |
| 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 Tests compare and contrast parametric and nonparametric tests, and describe situations where each is the more appropriate type of test |
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