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 both sample sizes are 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 both sample sizes are 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 both sample sizes are sufficiently large-that is,when ____________.

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