Should you use significance tests of skew and kurtosis in large samples?
A. No, because they are likely to be significant even when skew and kurtosis are not too different from normal.
B. No, because they are likely to be non-significant even when skew and kurtosis are significantly different from normal.
C. Yes, because large samples produce more accurate results.
D. Yes, because large samples add power to the test.
Answer: A
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a. UCLA. b. Columbia University. c. Harvard University. d. Northwestern University.
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a. Lesson plans for each classroom. b. A list of families who owe tuition. c. Guidelines to help choose appropriate books and toys for young children. d. Displays of children's work.
Designing _____ is a difficult process due to the large number of factors that must be considered
Fill in the blank(s) with correct word
The ¬¬¬¬¬¬¬¬¬¬¬¬¬______________ model relies on a major difference in IQ and performance to determine LD in students
a. IQ-Achievement b. RTI c. discrepancy d. wait to fail