Which of the following is a disadvantage that is applicable to rank-order tests but not data transformations?
A) They may distort the scores in ways that make the scores lose their original meaning.
B) They do not always make the data normal in all groups.
C) They cannot always be used.
D) They must be analyzed using less familiar nonparametric tests.
Correct Answer:
Verified
Q17: A sample drawn from a normally distributed
Q18: Having discovered an extreme score in a
Q19: A distribution of rank-ordered scores will always
Q20: The first step in considering a data
Q21: The rank-order test that would be used
Q23: Bootstrap tests are an example of a(n)
A)computer-intensive
Q24: The mean and variance of rank-ordered scores
Q25: If a Results section includes a sentence
Q26: The correct null hypothesis for a rank-order
Q27: In research articles,data transformations are usually mentioned
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