The central limit theorem is important for all of the following reasons except: It ensures that the sampling distribution of the sample mean approaches normal as the sample size increases. It allows us to use information from samples to draw conclusions about population parameters without knowing the shape of the population distribution. It ensures that the samples we select are random and representative. It allows us to use the normal distribution in statistical tests on sample means. None of the above.
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