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Describe the sample distribution of p^. Assume the size of the population is 25,000, n = 900, and p = 0.221. Describe the shape of the sampling distribution of p^.
Answer A: The shape of the sampling distribution of p^ is approximately normal because n < 0.05N and np(1- p) > 10.
Answer B: The shape of the sampling distribution of p^ is not normal because n < 0.05N and np(1- p) > 10.
Answer C: The shape of the sampling distribution of p^ is approximately normal because n < 0.05N and np(1- p) < 10.
Answer D: The shape of the sampling distribution of p^ is not normal because n < 0.05N and (1- p) < 10.
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