If two independent random variables X1 and X2 are distributed as chi-square with v1 and v2 degrees of freedom, respectively, Y = + X X 1 2 is a chi-square random variable with u = + v v 1 2 degrees of freedom. In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error). Key Statistics Terms and definitions covered in this textbookĪ fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each Chapter 7: Scatterplots, Association, and Correlation.Chapter 6: The Standard Deviation as a Ruler and the Normal Model.Chapter 5: Understanding and Comparing Distributions.
Chapter 4: Displaying and Summarizing Quantitative Data.Chapter 3: Displaying and Describing Categorical Data.Chapter 21: More About Tests and Intervals.Chapter 20: Testing Hypotheses About Proportions.Chapter 19: Confidence Intervals for Proportions.Chapter 18: Sampling Distribution Models.Chapter 14: From Randomness to Probability.Chapter 13: Experiments and Observational Studies.Chapter 10: Re-expressing Data: Get It Straight!.
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