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What happens to the standard error of m as sample size increases?.

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Answer:

  SEM decreases by a factor of √N

Step-by-step explanation:

The standard error of the mean (SEM) is inversely proportional to the square root of the sample size. As the sample size (N) increases, the SEM is decreased by a factor of √N.

The SEM is the population standard deviation divided by √N for a normal distribution.

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