The farther a given value of x is from the mean of x, the ____________________ the estimated error becomes.
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Q. 2The sample variance is a point estimate of the population variance.
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Q. 3There is ____________________ error in estimating a mean than in predicting an individual value.
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Q. 4An unbiased estimator has an average value (across all samples) equal to the population parameter.
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Q. 5A prediction interval for a particular y is always ____________________ than a confidence interval for the mean of y.
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Q. 6The sample variance s2 is an unbiased estimator of the population variance 2 when the denominator of s2 is n.
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Q. 7You use a(n) ____________________ interval whenever you want to estimate the mean of y when x is a given value.
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Q. 8Knowing that an estimator is unbiased only assures us that its expected value equals the parameter, but it does not tell us how close the estimator is to the parameter.
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