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

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If the underlying populations cannot be assumed to be normal,then by the central limit theorem,the sampling distribution 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 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 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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