Review_exam_3 - Dependent variable Independent samples...

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To GB 303 students: Here are some hints on studying for the third exam. You should concentrate on the concepts and understand the key terms in the glossary of each chapter--do not memorize definitions, but know what they mean and how they relate. You should know: How to read the test-statistic tables. What the three amazing facts say about the shape, center and spread of any sampling distribution. The characteristics of z, t, and F distributions. How to interpret p-values. Errors in hypothesis testing. The steps in hypothesis testing. The assumptions for the statistical tests. Confidence intervals Point estimates Central Limit Theorem Degrees of freedom Directional (one-tailed) vs. nondirectional (two-tailed) hypothesis tests Sampling distributions for the different statistical tests F test for difference between population variances Independent variable
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Unformatted text preview: Dependent variable Independent samples Related (dependent) samples Pooled variance t-test for independent samples Related samples t-test for dependent samples Remember that if you know σ use z, if you don’t know σ use t—no matter what the size of the sample. You need to know that there is a way to carry out the t-test for unequal variances but you do not need to know the formula for the hypothesis test or the confidence interval for the t-test for unequal variances. Comparing two population proportions Know the primary components of source tables for: One-way ANOVA (completely randomized design) and follow up test Randomized-blocks ANOVA and follow up test Two-way ANOVA and general idea of ANOVA follow-up tests, when to use them, and what they tell you This is a selection of main points; it is not complete....
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