1) What are the three properties of a good estimator? 2) What distribution must be used when computing confidence intervals for variances and standard deviations? 3) What is meant by a type I error? 4) When we are testing hypotheses by using proportions. what are the necessary requirements?
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- Unbiasedness means that the expected value of the estimator is equal to the true value of the parameter being estimated. - Efficiency refers to the estimator having the smallest possible variance among all unbiased estimators. - Consistency means that as the Show more…
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