1Which of the following levels of measurement are required to use the t-test? (Remeber there is both the variable you are testing and the grouping variable.)AnswerAn interval variableA dichotomous variableNeither a nor bBoth a and bQuestion 2Which of the following nonparametric tests can be used with nominal variables?AnswerANOVAWilcoxon matched-pairs testMann-Whitney U testNone of the aboveQuestion 3Which of the following distributions can be evaluated using ANOVA?AnswerBinomialUniformNormalNominalQuestion 4Which of the following nonparametric tests is analogous to (can be used in place of) the paired-samples t-test?AnswerANOVAWilcoxon matched-pairs testMann-Whitney U testChi square test for independenceQuestion 5Which of the following statements is true?AnswerNonparametric tests can result in a Type 1 but not a Type 2 errorNonparametric tests can result in a Type 2 but not a Type 1 errorNonparametric tests can result in neither a Type 1 nor a Type 2 errorNone of the above statements are trueQuestion 6Which of the following assumptions are required to use the Chi Square test for independence?AnswerA Normal distribution for the test variableA Normal distribution for the grouping variableHomogeneity of VarianceNone of the aboveQuestion 7Which of the following variables could be the dependent variable in a Logistic Regression?AnswerBMISurvival (yes or no)Grade in SchoolAll of the aboveQuestion 8Which of the following levels of measurement are required to produce Pearson’s correlation coefficient?AnswerNominalOrdinalNormalIntervalQuestion 9Which of the following nonparametric tests does not have an analog (there is no comparable parametric test)?AnswerANOVAChi Square goodness of fitMann-Whitney U testChi square test for independenceQuestion 10Which of the following best describes the assumption of equality of variance?AnswerThe samples are drawn from populations with a similar variance.The significance of the t-test statistic must be less than .05.The significance of the t-test statistic must be greater than .05.The significance of the F test statistic must be less than .05.Question 11Which of the following nonparametric tests is analogous to (can be used in place of) the independent t-test?AnswerANOVAWilcoxon matched-pairs testMann-Whitney U testChi square test for independenceQuestion 12Which of the following distributions can be evaluated using Logistic Regression?AnswerBinomialUniformNormalOrdinalQuestion 13Which of the following variables could be the independent variable in a Logistic Regression?AnswerBMIAgeAssignment to case or controlAll of the aboveQuestion 14Which of the following parametric tests is analogous to the Mann-Whitney U test?AnswerANOVAWilcoxon matched-pairs testChi square goodness of fitIndependent t-testQuestion 15Which of the following assumptions are not required to use ANOVA?AnswerA Normal distribution for the test variableA Normal distribution for the grouping variableHomogeneity of VarianceIndependent samplingQuestion 16Which of the following best describes the assumption of Normality?AnswerThe samples are drawn from populations with a similar variance.The distribution of the sample cannot be skewed.If the sample is large enough you can assume Normality even if the data does not have a bell-shape.The histogram of the sample data should be shaped like a bell.Question 17Which of the following statements about assumptions is true?AnswerYou should not make assumptions about your sample.Every test requires certain assumptions.Parametric tests require you to assume your data follows a known distribution.Parametric tests require you to assume your data is Normal and positively skewed.Question 18Which parametric test would you use to compare the means of 3 groups?AnswerANOVAWilcoxon matched-pairs testKruskal-Wallis HIndependent t-testQuestion 19Which nonparametric test would you want to use to compare responses to pre and post intervention tests given to 5th grade students?AnswerPaired samples t-testWilcoxon signed-rank testMann-Whitney U testChi square Goodness of Fit testQuestion 20Which of the following statements is true?AnswerThere is no difference between using the nonparametric test or its parametric analog.The parametric test often requires a smaller sample size to achieve the same Power.The nonparametric test often requires a smaller sample size to achieve the same Power.The nonparametric test is usually easier to calculate than the parametric one.

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