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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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Skinner's Theory

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