Psychology 3800F/G Study Guide - Final Guide: Variance, Quartile, Central Tendency

• School: Western University
• Department: Psychology
• Course: Psychology 3800F/G
• Professor: Ryan Stevenson

Document Summary

Se & stat"l inference: measures variability of sampling distrib & accuracy sample represents pop, unknown = pop variance, need to estimate se using sample std. dev, sem = (std. dev. ) / (square root of ss: std. dev. of all possible means for a pop, std norm distrib: symmetrical, mean = 0, std. dev. In stats, we test samples, & use the results from these samples to make inferences about the pops from which they were drawn. If p< . 05 (signif result): reject h0; conclude that signif effect exists. If data extremely skewed or ordinal, use non-parametric tests. Levene"s test: homogeneity of variance variances); ind samples t-test only; don"t want to be signif: not signif = variances don"t differ signif"ly = variances approximately equal. If differ signifly, suggests sample comes from a diff pop. Multi comparisons conservative; [ / (# of tests)]: many other ways of correcting, which to use varies on the situation, monte carlo simulation, create a distrib.