When a distribution is highly skewed, we may want to
A) use z-scores on the data
B) use stanines on the data
C) normalize the distribution
D) ignore the data
Correct Answer:
Verified
Q1: The simplest transformation expresses scores in terms
Q2: An example of a linear transformation is
Q4: Percentile transformations change the relationship between scores
Q5: Transformation should
A) change a person's rank
B) present
Q6: When comparing a score to grade norms,
Q7: The techniques used to equate scores across
Q8: A z-score of 0 in a normal
Q9: _ transformations express a person's score in
Q10: Given that a T- score = (z-score
Q11: Z-scores are useful because
A) z-scores indicate a
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