STAT 201 Study Guide - Final Guide: Chi-Squared Distribution, Pooled Variance, Central Tendency
11 Oct 2018
School
Department
Course
Professor
Document Summary
Mutually exclusive: (cid:272)a(cid:374)"t (cid:271)e i(cid:374) (cid:373)o(cid:396)e tha(cid:374) o(cid:374)e (cid:272)atego(cid:396)(cid:455) Exhaustive: must be in a category, one event must happen, all possibilities. Normality (unimodal and symmetric distributions) for each group. Assume equal variance use levene test df= #samples - #groups. Proportion of variance explained (r2) = between groups/ total. Small groups a diff of 1 makes more difference in small groups than large groups. Multiple testing error (cid:894) t(cid:455)pe (cid:1005) e(cid:396)(cid:396)o(cid:396)(cid:895) Sometimes need to test more than one hypothesis. When a p-value against two means being equal is large, it does not imply that there is no difference, it only means that there is not enough evidence to detect a difference. Sum of squares total = sum of squares within + sum of squares between, Ho(cid:449) (cid:373)u(cid:272)h o(cid:374)e (cid:448)a(cid:396)ia(cid:271)le o(cid:396) as another goes up. Y= a + (bx +bx) (if more than one independent variable) If = 0. 5, then median is the average of 0. 5 and the next category.
