What does a larger sample size do to the sampling distribution of the mean?
- It decreases the spread of the distribution
- It does not affect the distribution
- It increases the spread of the distribution
- It skews the distribution
A larger sample size decreases the spread of the sampling distribution of the mean. This is because as the sample size increases, the standard error (a measure of the spread of the distribution of sample means) decreases, which means that the sampling distribution becomes more concentrated around the true population mean.
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