Question: The sample proportion p is an unbiased estimator for the population proportion p. This means that: (A) the variance of the sampling distribution of p

The sample proportion p is an unbiased estimator for the population proportion p. This

means that:

(A) the variance of the sampling distribution of p is smaller than for any other estimator.

(B) if you take a large enough sample size, you will be guaranteed that p = p.

(C) the sampling distribution of p approaches a normal distribution as the sample size

gets large.

(D) the mean of the sampling distribution of p is p.

(E) the mean of the sampling distribution of p is p.

( I Need the explanation and theory)

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