LOS j: Distinguish between parametric and nonparametric tests and describe the situations in which the use of nonparametric tests may be appropriate.
Which of the following statements about parametric and nonparametric tests is least accurate?
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A) |
The test of the difference in means is used when you are comparing means from two independent samples. | |
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B) |
Nonparametric tests rely on population parameters. | |
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C) |
The test of the mean of the differences is used when performing a paired comparison. | |
Nonparametric tests are not concerned with parameters; they make minimal assumptions about the population from which a sample comes. It is important to distinguish between the test of the difference in the means and the test of the mean of the differences. Also, it is important to understand that parametric tests rely on distributional assumptions, whereas nonparametric tests are not as strict regarding distributional properties.
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发表于 2010-4-16 10:01
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