Test procedures designed for use with ranks have __________ assumptions than procedures designed for use with interval or ratio-level data.
a. |
Fewer |
|
b. |
Equal |
|
c. |
More |
Answer: Fewer
Test procedures designed for use with ranks have fewer assumptions than procedures designed for use with interval or ratio-level data.
Explanation:
Nonparametric tests are sometimes called distribution-free tests because they are based on fewer assumptions (e.g., they do not assume that the outcome is approximately normally distributed). Parametric tests involve specific probability distributions (e.g., the normal distribution) and the tests involve estimation of the key parameters of that distribution (e.g., the mean or difference in means) from the sample data. The cost of fewer assumptions is that nonparametric tests are generally less powerful than their parametric counterparts (i.e., when the alternative is true, they may be less likely to reject H0).
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