The sample proportion is a consistent estimator of the population proportion p because it is unbiased and the variance of is p(1 - p) / n, which grows smaller as n grows larger.
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Q1: An unbiased estimator is said to be
Q2: An unbiased estimator has an average value
Q4: The sample variance s2 is an
Q6: An unbiased estimator is a sample statistic
Q11: An interval estimate is an estimate of
Q14: If there are two unbiased estimators of
Q16: An unbiased estimator is said to be
Q17: Knowing that an estimator is unbiased only
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