If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of is approximately normal only if the sum of the sample observations is sufficiently large-that is,when .

Question

If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of  is approximately normal only if the sum of the sample observations is sufficiently large-that is,when  .

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The Answer of If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution of  is approximately normal only if the sum of the sample observations is sufficiently large-that is,when  .

If the Underlying Populations Cannot Be Assumed to Be Normal,then