Which follows from the Central Limit Theorem? A. The sampling distribution of the sample mean is not normal when the distribution of raw data values is not normal. B. The sampling distribution of the sample mean is approximately normal if the sample size is large. A B neither A nor B both A and B
Which follows from the Central Limit Theorem? A. The sampling distribution of the sample mean is not normal when the distribution of raw data values is not normal. B. The sampling distribution of the sample mean is approximately normal if the sample size is large. A B neither A nor B both A and B
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![Which follows from the Central Limit Theorem?
A. The sampling distribution of the sample mean is not normal when the distribution
of raw data values is not normal.
B. The sampling distribution of the sample mean is approximately normal if the
sample size is large.
A
B
neither A nor B
both A and B](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F758e2823-031e-4266-8017-a4644d8841bc%2F601a9cde-0dfd-49b7-8aeb-b1d2bc5cf292%2F1061uk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Which follows from the Central Limit Theorem?
A. The sampling distribution of the sample mean is not normal when the distribution
of raw data values is not normal.
B. The sampling distribution of the sample mean is approximately normal if the
sample size is large.
A
B
neither A nor B
both A and B
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