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Levene's test, side-by-side boxplotsor a histogram. T F 2. As a increases, the value of za will decrease T F 3. If every observation is multiplied by 2, then the t statistic is multiplied by 2. T F 4. Given a certain dataset, we can use extrapolation to estimate a value bet ween known data points. T F 5. The assumptions required for ANOVA are Independence, Normality, and Constant Variance. T F 6. If the conclusions from an ANOVA and t test disagree for two independent samples, youshould trust the t test. T F7. If the test statistic falls in the rejection region, the null hypothesis has been proven to be true. T F 8. A two-sample test is twice as powerful as a one-sample test. T F 9. The standard error of the mean increases as the sample size decreases. T F10. The term Ayx serves as the point estimate for estimating both the mean and individual prediction of y for a given x.

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