A researcher examined whether exposure to different campaign…

A researcher examined whether exposure to different campaign messages influences trust in local government. Participants were randomly assigned to read either a message emphasizing government transparency reforms or a message emphasizing government inefficiency. After reading the message, participants completed a 10-point scale measuring trust in local government.Results:Transparency message mean = 5.1Inefficiency message mean = 6.7F = 7.44p = .011

Word Bank constant vs. variable qualitative vs. quantitati…

Word Bank constant vs. variable qualitative vs. quantitative variables univariate vs. bivariate statistics center vs. variability vs. shape mean vs. median vs. mode  standard deviation vs. standard error of the mean Type I error vs. false alarm False alarm vs. correct retention of the null Type II error vs. miss Type III error vs. misspecification Correct rejection of H0: vs. Type III error Type I error vs. Type II error vs. Type III error between groups vs. within-groups comparisons Sign of r vs. size of r Linear vs. nonlinear bivariate relationship Scatterplot vs. contingency table symmetrical vs. asymmetrical X2 data patterns Type III error vs. results contrary to the research hypothesis correlation vs. Chi-square vs. BG ANOVA vs. WG ANOVA Significant vs. large effect  A priori vs. post hoc power analyses Power vs. Type II error