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Author Question: How accurately the standard normal curve model predicts the actual relative frequency of raw scores ... (Read 64 times)

clippers!

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How accurately the standard normal curve model predicts the actual relative frequency of raw scores depends on three aspects of the data:
 
  a. The raw scores form an approximately normal distribution; there is a large sample N; and the raw scores are theoretically continuous scores measured on an interval or ratio scale.
  b. 50 of the raw scores are above and below the median; there is a large sample N; and the raw scores are measured on an ordinal, interval, or ratio scale.
  c. 50 of the raw scores are above and below the median; there is a moderately large sample N; the raw scores are theoretically continuous scores measured on an interval or ratio scale.
  d. The raw scores form an approximately normal distribution; there is a moderately large sample N; and the raw scores are measured on an ordinal, interval, or ratio scale.

Question 2

A perfect normal curve, which serves as a model of any approximately normal z-distribution, is called the
 
  a. sampling distribution of means. c. standard normal curve.
  b. standard, normalized z-distribution. d. standard mean score distribution.



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Christopher

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Answer to Question 1

A

Answer to Question 2

C





 

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