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Question 1

Which 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.)Answer An interval variable

A dichotomous variable

Neither a nor b

Both a and b

.1 points

Question 2

Which of the following assumptions are required to use the Chi Square test for independence?Answer A Normal distribution for the test variable

A Normal distribution for the grouping variable

Homogeneity of Variance

None of the above

Question 3

Which of the following parametric tests is an analog of the Chi Square goodness of fit test?Answer ANOVA

Wilcoxon matched-pairs test

Pearson’s correlation coefficient

None of the above

Question 4

Which of the following distributions can be evaluated using ANOVA?Answer Binomial

Uniform

Normal

Nominal

Question 5

Which of the following nonparametric tests is analogous to (can be used in place of) the independent t-test?Answer ANOVA

Wilcoxon matched-pairs test

Mann-Whitney U test

Chi square test for independence

Question 6

Which of the following levels of measurement (for the dependent variable) are required to use Wilcoxon signed-rank test?Answer Nominal

Ordinal

Dichotomous

Interval

Question 7

Which of the following best describes the assumption of Normality?Answer The 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 8

Which of the following parametric tests is analogous to the Mann-Whitney U test?Answer ANOVA

Wilcoxon matched-pairs test

Chi square goodness of fit

Independent t-test

Question 9

Which of the following tests requires an assumption of Normality for at least 1 variable? Answer Multiple Linear Regression

Multiple Logistic Regression

Chi Square test for Independence

Wilcoxon signed-rank test

Question 10

Which of the following statements is true?Answer Nonparametric tests can result in a Type 1 but not a Type 2 error

Nonparametric tests can result in a Type 2 but not a Type 1 error

Nonparametric tests can result in neither a Type 1 nor a Type 2 error

None of the above statements are true

Question 11

Which of the following variables could be the independent variable in a Logistic Regression?Answer BMI

Age

Assignment to case or control

All of the above

Question 12

Which of the following parametric tests is analogous to the Wilcoxon matched-pairs test?Answer Independent t-test

Paired t-test

Chi square goodness of fit

None of the above

Question 13

Which of the following distributions can be evaluated using Logistic Regression?Answer Binomial

Uniform

Normal

Ordinal

Question 14

Which of the following nonparametric tests is analogous to (can be used in place of) the paired-samples t-test?Answer ANOVA

Wilcoxon matched-pairs test

Mann-Whitney U test

Chi square test for independence

Question 15

Which of the following statements is true?Answer All statistical tests require some assumptions about the distribution of at least 1 variable

Assumptions do not need to be tested, just assumed

A common statistic used to test assumptions is the Chi Square Goodness of Fit test

None of the above statements are true

Question 16

Which of the following nonparametric tests can be used with ordinal variables?Answer ANOVA

Wilcoxon matched-pairs test

Mann-Whitney U test

None of the above

Question 17

Which nonparametric test would you want to use to compare responses to pre and post intervention tests given to 5th grade students? Answer Paired samples t-test

Wilcoxon signed-rank test

Mann-Whitney U test

Chi square Goodness of Fit test

Question 18

Which of the following statements is true? Answer There 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.

Question 19

Which parametric test would you use to compare the means of 3 groups? Answer ANOVA

Wilcoxon matched-pairs test

Kruskal-Wallis H

Independent t-test

Question 20

Which of the following statements about assumptions is true? Answer You 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.

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