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Which of the following statements are true? I. The sampling distribution of ¤ has standard deviation even if the population is not normally distributed. II. The sampling distribution of æ is normal if the population has a normal distribution. III. When n is large, the sampling distribution of is approximately normal even if the the population is not normally distributed. OI and II I and II O Il and III O1, II, and II None of the above gives the complete set of true responses.

Which of the following statements are true? I. The sampling distribution of ¤ has standard deviation even if the population is not normally distributed. II. The sampling distribution of æ is normal if the population has a normal distribution. III. When n is large, the sampling distribution of is approximately normal even if the the population is not normally distributed. OI and II I and II O Il and III O1, II, and II None of the above gives the complete set of true responses.

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Which of the following statements are true? I. The sampling distribution of a has standard deviation even if the population is not normally distributed. II. The sampling distribution of z is normal if the population has a normal distribution. III. When n is large, the sampling distribution of e is approximately normal even if the the population is not normally distributed. OI and II OI and III O Il and III O1, II, and II None of the above gives the complete set of true responses.
Transcribed Image Text:Which of the following statements are true? I. The sampling distribution of a has standard deviation even if the population is not normally distributed. II. The sampling distribution of z is normal if the population has a normal distribution. III. When n is large, the sampling distribution of e is approximately normal even if the the population is not normally distributed. OI and II OI and III O Il and III O1, II, and II None of the above gives the complete set of true responses.
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