U Question 2 When a population distribution is not normal but the sample size is sufficiently large, using the central l
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U Question 2 When a population distribution is not normal but the sample size is sufficiently large, using the central l
Question 2 When a population distribution is not normal but the sample size is sufficiently large, using the central limit theorem, we can approximate the sampling distribution of the mean using which distribution? Normal distribution Chi-square distribution Non-normal distribution Ot-distribution Question 3 we know the population standard deviation and the sample size is large For a single population mean from a normally distributed population, select the most appropriate distribution for the described situation: we know the population standard deviation and the sample size is small we don't know the population standard deviation and the sample size is small [Choose ] [Choose ] 1 pts [Choose ] 1 pts
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