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A. It requires a numerical (quantitative) score for each individual.
B. The sample must be random.
C. Population parameters such as μ and σ must be known.
D. The observations must not be independent.
A. That there is a small effect size
B. That there is a medium effect size
C. That there is a large effect size
D. That there is no effect size at all
A. Chi-square test for independence; independent-groups t test
B. Correlated-groups t test; independent-groups t test
C. Independent-groups t test; chi-square test for independence
D. None of these
A. When a more powerful test is needed
B. When our data do not meet the assumptions of parametric procedures
C. When our sample is relatively small
D. When measurement is interval or ratio
A. The expected frequencies for each category
B. The frequencies expected in the population
C. Df
D. N
A. T-test; z-test
B. Z-test; t-test
C. Chi-square-test; t-test
D. T-test; chi-square-test
A. Nonparametric procedures do not assume that samples come from population distributions.
B. Nonparametric procedures do not assume a normal distribution.
C. Nonparametric procedures do not assume homogeneous variance.
D. The data used with nonparametric procedures may be nominal or ordinal.
A. T is a nonparametric test.
B. It is appropriate only for ordinal data.
C. The frequency in each cell should be at least 5.
D. The sample should be randomly selected.
A. The probability of making a Type I error is too high
B. The probability of making a Type II error is too high
C. Nonparametric procedures are not inferential statistics
D. They are less powerful than parametric procedures
A. Change in a consistent fashion.”
B. Have equal variances.”
C. Represent specific frequencies in the population.”
D. Represent the category means in the population.”
A. The null hypothesis is never rejected.
B. The null hypothesis is never retained.
C. The actual probability of making a Type I error is larger than α.
D. The actual probability of making a Type I error is smaller than α.
A. Parametric
B. Nonparametric
C. Metametric
D. Trimetric
A. Parametric
B. Nonparametric
C. Metametric
D. Trimetric
A. Chi square test
B. Bi square test
C. Square test
D. Mid square test
A. Dependent
B. Independent
C. Both a and b
D. None