SocSci 9C Test 5 2007

# SocSci 9C Test 5 2007 - NAME TEST FIVE PROBABILITY AND...

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NAME: _______________________________ I.D.: _________________________________ TEST FIVE PROBABILITY AND STATISTICS, 9C JUNE 11, 2007 For the following ten (10) questions, identify the type of test that should be used. Simply use the corresponding letter: A) One-sample z test (for a mean) or a one-sample t-test; B) Chi-square goodness of fit; C) Chi-square test for independence; D) one-sample z-test for a proportion; E) Two-sample z-test for a difference between proportions; F) Simple regression; G) Multiple regression; H) Two- independent samples t-test (with homogeneity of variance); I) Two-independent samples t-test (without homogeneity of variance); J) Two-related samples t-test; K) One-way (independent measures) ANOVA; L) One-way Repeated measures ANOVA; M) Two- way ANOVA (any kind – repeated measures, independent measures, or mixed measures); N) Mann-Whitney; O) Wilcoxon or Sign Test; P) Kruskall-Wallis; Q) Friedman; R) Lambda or Goodman and Kruskall’s tau; S) Gamma or Somers’ d; T) Spearman’s rho; U) Pearson’s r; or V) eta-squared or omega squared. It is safe to use parametric measures, unless something is directly stated that clearly indicates otherwise, or unless the data strongly and unambiguously indicates otherwise. Likewise, you can assume (if necessary) that relations are linear unless clearly stated otherwise. [Note: just because a relationship is linear doesn’t necessarily mean we will use regression.] For all “difference” cases where there are only two categories and a parametric test is to be used, some sort of t-test is the only acceptable answer even though an ANOVA would technically also work. The same goes for non-parametric measures as well:

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## This note was uploaded on 04/13/2008 for the course SOC SCI 9C taught by Professor Shirey during the Spring '08 term at UC Irvine.

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SocSci 9C Test 5 2007 - NAME TEST FIVE PROBABILITY AND...

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