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1. If the variance of a population that follows a normal distribution is known, then, if necessary, a test of hypothesis concerning the mean can be performed from a sample of size n = 1.

2. If possible, samples of size larger than 1 should be used for purposes of inference.

3. According to the central limit theorem, if n is large, the sampling distribution of averages is closely approximated by a normal distribution.

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