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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Q2: An unbiased estimator has an average value
Q3: In determining the sample size needed to
Q4: The sample mean Q4: The sample variance s2 is an Q6: An unbiased estimator is a sample statistic Q7: An interval estimate is a range Q9: The sample variance is a point estimate Q14: The sample variance (where you divide by Q17: Knowing that an estimator is unbiased only Q27: The confidence interval estimate of the population![]()
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