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10. Variances
10. Variances
10.1 An Introduction to Inference for One Variance (Assuming a Normally Distributed Population)
10.2 Inference for One Variance: An Example of a Confidence Interval and a Hypothesis Test
10.3 Deriving a Confidence Interval for a Variance (Assuming a Normally Distributed Population)
10.4 The Sampling Distribution of the Sample Variance
10.5 Inference for a Variance: How Robust are These Procedures?
10.6 An Introduction to Inference for the Ratio of Two Variances
10.7 Inference for Two Variances: An Example of a Confidence Interval and a Hypothesis Test
10.8 Deriving a Confidence Interval for the Ratio of Two Variances
10.9 The Sampling Distribution of the Ratio of Sample Variances
10.10 Inference for the Ratio of Variances: How Robust are These Procedures?
Chapters
1. Discrete Probability Distributions
2. Continuous Random Variables & Continuous Probability Distributions
3. Using Tables to Find Areas and Percentiles (Z, t, X
^{2}
, F)
4. Sampling Distributions
5. Confidence Intervals
6. Hypothesis Testing
7. Inference for Two Means
8. Inference for Proportions
9. Chi-square tests
10. Variances
11. ANOVA
12. Regression
13. Jimmy and Mr. Snoothouse
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