A Brief Quiz on Chapter 14

Choose the correct answer for each question. To print your answer, use the browser "Print" command.


1	When researchers compare more than two means, analysis of variance is the statistical tool to be used.






2	Analysis of variance reveals the location of differences among more than two means.






3	Following finding a significant effect from analysis of variance or t, a measures such as eta is used to compute effect sizes.






4	Factorial analysis of variance is a test of statistical significance that identifies differences among many levels of a single independent variable.






5	For pairwise comparisons following a significant F ratio, Tukey's HSD is the recommended test.






6	The analysis of variance is used to determine nonlinear effects of independent variables on dependent variables.






7	Nonparametric tests are statistical methods that do not make assumptions about population distributions or population parameters.






8	The chi square test of independence shows the degree of correlation between two "count" variables (nominal level variables whose frequency can only be counted).






9	Multivariate analyses deal with more than one independent variable at a time.






10	Eta or eta squared is used to compute effect sizes from the observed chi square value.






11	Multiple regression correlation is a method of correlating multiple predictors with a single output variable.






12	Look at these results for a study on the effect of humor (or not) among male and female receivers (the sex of receivers variable) on attitude change. At alpha risk of .05, the critical value of F for 1 and 80 degrees of freedom is 3.96 Interpret these results by identifying if the statements to follow are true or false. There is a significant main effect for the humor variable.






13	Using these same data from the ANOVA table, there is a significant main effect for the receiver sex variable.






14	Using these same data from the ANOVA table, there is a significant interaction between humor use and receiver sex.






15	The total effect size of significant effects in this study is .17.