Which of following is true about the central limit theorem? Choose the most appropriate answer. As long as you have a reasonably large sample size, the sampling distribution of the mean will be normally distributed, only if the distribution of scores in your sample is random. As long as you have a reasonably large sample size, the sampling distribution of the mean will be normally distributed, only if the distribution of scores in your sample is not. As long as you have a reasonably large sample size, the sampling distribution of the mean will be normally distributed, even if the distribution of scores in your sample is not. As long as you have a reasonably large sample size, the sampling distribution of the mean will be normally distributed, when the distribution of scores in your sample is random.

Which of following is true about the central limit theorem? Choose the most appropriate answer. As long as you have a reasonably large sample size, the sampling distribution of the mean will be normally distributed, only if the distribution of scores in your sample is random. As long as you have a reasonably large sample size, the sampling distribution of the mean will be normally distributed, only if the distribution of scores in your sample is not. As long as you have a reasonably large sample size, the sampling distribution of the mean will be normally distributed, even if the distribution of scores in your sample is not. As long as you have a reasonably large sample size, the sampling distribution of the mean will be normally distributed, when the distribution of scores in your sample is random.

Algebra and Trigonometry (MindTap Course List)

4th Edition

ISBN:9781305071742

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter14: Counting And Probability

Section14.2: Probability

Problem 3E: The conditional probability of E given that F occurs is P(EF)=___________. So in rolling a die the...

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