 t-Test

| May 18, 2014

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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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