If the underlying populations cannot be assumed to be normal, then by the central limit theorem, the sampling distribution of ₁ - ₂ is approximately normal only if the sum of the sample observations is sufficiently large-that is, when n₁ + n₂ ≥ 30.

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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 ₁ - ₂ is approximately normal only if the sum of the sample observations is sufficiently large-that is, when n₁ + n₂ ≥ 30.

If the Underlying Populations Cannot Be Assumed to Be Normal