Explain why increasing the sample size tends to result in a smaller sampling error when a sample mean is used to estimate a population mean. A. The above statement is incorrect, the sample size has no effect on the sampling error. B. If the sample size is larger, the possible values of x are farther from the mean of x C. The larger the sample size, the more closely the possible values of x cluster around the mean of x
Explain why increasing the sample size tends to result in a smaller sampling error when a sample mean is used to estimate a population mean. A. The above statement is incorrect, the sample size has no effect on the sampling error. B. If the sample size is larger, the possible values of x are farther from the mean of x C. The larger the sample size, the more closely the possible values of x cluster around the mean of x
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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
Transcribed Image Text:Explain why increasing the sample size tends to result
in a smaller sampling error when a sample mean is
used to estimate a population mean.
A. The above statement is incorrect, the sample
size has no effect on the sampling error.
B. If the sample size is larger, the possible values of
x are farther from the mean of x
C. The larger the sample size, the more closely the
possible values of x cluster around the mean of x
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