When taking random samples of n observations from a population that is not normally distributed, the sampling distribution, x, will be approximately normally distributed never. The population itself...


When taking random samples of n observations from a population that is not normally distributed, the sampling<br>distribution, x, will be approximately normally distributed<br>never. The population itself must be normally distributed for x to be normally distributed.<br>when the population distribution has low kurtosis.<br>always.<br>when the population standard deviation, o, is greater than n.<br>when n is sufficiently large.<br>

Extracted text: When taking random samples of n observations from a population that is not normally distributed, the sampling distribution, x, will be approximately normally distributed never. The population itself must be normally distributed for x to be normally distributed. when the population distribution has low kurtosis. always. when the population standard deviation, o, is greater than n. when n is sufficiently large.

Jun 03, 2022
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