PSYC 315 Study Guide - Final Guide: Null Hypothesis, Test Statistic, Homoscedasticity
21 Mar 2016
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Comparing two sets of scores, one from each of two entirely separate groups of people (between- subjects experimental designs) The scores of the two groups are independent of each other. Scores in one group are for different people than the scores in the other group (no pairs of scores) T-test for independent samples: focuses on the difference between the means of the two groups. Goal is to decide whether the difference between he means of the two actual samples is a more extreme difference that the cutoff differences on this distribution of differences between means. If the null hypothesis is true, these two populations have equal means. Two distribution of means have equal means. Ultimately, if null hypothesis is true, the distribution of differences between means has a mean of 0. Assumptions: dependent variable is a scale variable, population is normally distributed or there are at least 30 ss, randomly selected, two populations have the same variance (homogeneity of variance)
