Question: 1. Which is not true of parametric tests? a. They require interval data. b. They require normality in the population. c. They are less powerful

1. Which is not true of parametric tests?
a. They require interval data.
b. They require normality in the population.
c. They are less powerful than nonparametric tests.
d. None of the above.
2. In a chi-square test, the expected frequencies
a. are expected to occur under the terms of the null hypothesis.
b. are expected to occur under the terms of the research hypothesis.
c. refer to those frequencies actually observed from the results of conducting research.
d. are never known by the researcher.
3. The two-way chi-square might be used as a nonparametric alternative instead of
__________ when comparing two groups.
a. confidence intervals
b. standard deviation
c. t ratio
d. analysis of variance
4. In a chi-square analysis, the larger the difference between expected and observed frequencies, the more likely you are to
a. retain the null hypothesis.
b. reject the null hypothesis.
c. instead use a t ratio or some other parametric test.
5. Which of the following is not a requirement of a two-way chi-square?
a. A comparison between two or more mean scores
b. Nominal data
c. Random sampling
d. The expected cell frequencies should not be too small.
6. To employ the median test, you must be able to
a. compare the means.
b. assume a normal distribution.
c. compare three or more independent samples.
d. rank order a set of cases.

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