Spring 2010 Midterm 1 Review Slides

Distribution is not symmetric df s2 2 2 df s2 2 1 2

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Unformatted text preview: e-Population Mean Two-Population Mean One-Population Variance Two-Population Variances More-than-two-Population Means Two-Population Variance Ratio of Variances 2 1 2 2 It is also used before mean-test if you do not know population variances are equal or unequal test df statistic width CI df F-test n1 F 1 n2 2 S1 2 S2 1 NO width (distribution is not symmetric) 2 2 S1 S2 F2 2 2 S1 S2 F1 2 Remark F 2 1 and F1 2 1 11 Statistical Inference Types of Test Exercises One-Population Mean Two-Population Mean One-Population Variance Two-Population Variances More-than-two-Population Means More-than-two-Population Means (ANOVA) ANOVA is used to make inferences about the differences between the MEANS of TWO OR MORE populations However, the test is based on comparing variances instead of comparing means The idea is to compare the variances under different assumptions on the means Hypotheses are always like this (for k populations) H0 H1 1 2 k At least two means are different from each other, or At least one mean is different from the others, or At least one equality in H0 does not hold 12 Statistical Inference Types of Test Exercises One-Population Mean Two-Population Me...
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