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If Random Samples of Size N = 50 Are Drawn

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If random samples of size n = 50 are drawn from a non-normal population with finite mean If random samples of size n = 50 are drawn from a non-normal population with finite mean   = 100 and standard deviation   = 20, then the sampling distribution of the sum of sample measurements   is approximately normally distributed with mean   = 5000 and standard deviation   = 1000. = 100 and standard deviation If random samples of size n = 50 are drawn from a non-normal population with finite mean   = 100 and standard deviation   = 20, then the sampling distribution of the sum of sample measurements   is approximately normally distributed with mean   = 5000 and standard deviation   = 1000. = 20, then the sampling distribution of the sum of sample measurements If random samples of size n = 50 are drawn from a non-normal population with finite mean   = 100 and standard deviation   = 20, then the sampling distribution of the sum of sample measurements   is approximately normally distributed with mean   = 5000 and standard deviation   = 1000. is approximately normally distributed with mean If random samples of size n = 50 are drawn from a non-normal population with finite mean   = 100 and standard deviation   = 20, then the sampling distribution of the sum of sample measurements   is approximately normally distributed with mean   = 5000 and standard deviation   = 1000. = 5000 and standard deviation If random samples of size n = 50 are drawn from a non-normal population with finite mean   = 100 and standard deviation   = 20, then the sampling distribution of the sum of sample measurements   is approximately normally distributed with mean   = 5000 and standard deviation   = 1000. = 1000.

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