Each of the following are characteristics of the sampling distribution of the mean except: a. The sampling distribution of the mean has the same mean as the original population. b. If the original population is normally distributed, the sampling distribution of the mean will also be normal. c. If the original population is not normally distributed, the sampling distribution of the mean will also be approximately normal for large sample sizes. d. The standard deviation of the sampling distribution of the mean is referred to as the standard error. e. All of these choices are characteristics of the sampling distribution of the mean.
Each of the following are characteristics of the sampling distribution of the mean except: a. The sampling distribution of the mean has the same mean as the original population. b. If the original population is normally distributed, the sampling distribution of the mean will also be normal. c. If the original population is not normally distributed, the sampling distribution of the mean will also be approximately normal for large sample sizes. d. The standard deviation of the sampling distribution of the mean is referred to as the standard error. e. All of these choices are characteristics of the sampling distribution of the mean.
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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![Each of the following are characteristics of the sampling
distribution of the mean except: a. The sampling
distribution of the mean has the same mean as the
original population. b. If the original population is
normally distributed, the sampling distribution of the
mean will also be normal. c. If the original population is
not normally distributed, the sampling distribution of the
mean will also be approximately normal for large sample
sizes. d. The standard deviation of the sampling
distribution of the mean is referred to as the standard
error. e. All of these choices are characteristics of the
sampling distribution of the mean.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3b9669ee-07ae-4830-8845-54ce43a9ebef%2F2c3ba6b2-4bd7-462c-88e6-7725b5e65ea2%2Fi3kep_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Each of the following are characteristics of the sampling
distribution of the mean except: a. The sampling
distribution of the mean has the same mean as the
original population. b. If the original population is
normally distributed, the sampling distribution of the
mean will also be normal. c. If the original population is
not normally distributed, the sampling distribution of the
mean will also be approximately normal for large sample
sizes. d. The standard deviation of the sampling
distribution of the mean is referred to as the standard
error. e. All of these choices are characteristics of the
sampling distribution of the mean.
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