PSYC 2530 Chapter Notes - Chapter 10: Repeated Measures Design, Effect Size

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Chapter 10: the t test for two independent samples. Independent-measures t test is used for: between-subjects design. Goal: to evaluate the mean difference between two populations (or between two treatment conditions) The independent-measures t test uses the difference between two sample means to evaluate a hypothesis about the difference between two population means. Complete independent-measures t test procedure: determine the degrees of freedom (df) and find the critical region based on the t distribution and chosen alpha level, do the test: Compute the t statistic (t: make a decision. First, select a level of confidence (ex. 95%) and then look up the corresponding t value. Hartley"s f-max test: select the largest and the smallest of these sample variances and compute: If the sample value is larger than the table value, then you conclude that the variances are different and that the homogeneity is not valid. To locate the critical value in the table, you need to know:

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