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1. The properties of point estimators A point estimator is a sample statistic that provides a point estimate of a population parameter. Complete the following

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1. The properties of point estimators A point estimator is a sample statistic that provides a point estimate of a population parameter. Complete the following statements about point estimators. consistent If, as the sample size is increased, the estimator tends to provide better estimates of the A point estimator is said to be population parameter A point estimator is said to be unbiased If its expected value is equal to the value of the population parameter that it estimates. is Given two unblased estimators of the same population parameter, the estimator with the smaller expected value relatively more efficient Grade It Now Save & Continue 1. The properties of point estimators A point estimator is a sample statistic that provides a point estimate of a population parameter. Complete the following statements about point estimators. consistent A point estimator is said to be if, as the sample size is increased, the estimator tends to provide better estimates of the population parameter. biased A point estimator is said to be relatively efficient expected value is equal to the value of the population parameter that it estimates. Given two unbiased estimators unbiased bion parameter, the estimator with the smaller expected value is relatively more efficient consistent Grade It Now Save & Continue 1. The properties of point estimators A point estimator is a sample statistic that provides a point estimate of a population parameter. Complete the following statements about point estimators. A point estimator is said to be consistent it, as the sample size is increased, the estimator tends to provide better estimates of the population parameter. worse A point estimator is said to be unbiased if its expected value is equal to the value of the population paran better it estimates. Given two unbiased estimators of the same population parameter, the estimator with the smaller expected value relatively more efficient Grade It Now Save & Continue Continue without saving 1. The properties of point estimators A point estimator is a sample statistic that provides a point estimate of a population parameter. Complete the following statements about point estimators. consistent if, as the sample size is increased, the estimator tends to provide better estimates of the A point estimator is said to be population parameter A point estimator is said to be unbiased if its expected value is equal to the value of the population parameter that it estimates. unbiased Given two unbiased estimators relatively more efficient biased population parameter, the estimator with the smaller expected value Grade It Now Save & Continue 1. The properties of point estimators A point estimator is a sample statistic that provides a point estimate of a population parameter. Complete the following statements about point estimators variance A point estimator is said to be consistent standard deviation site is increased the estimator tends to provide better estimates of the population parameter expected value A point estimator is said to be unbiased its expected value Is equal to the value of the population parameter that it estimates Given two unbiased estimators of the same population parameter, the estimator with the smaller expected values relatively more efficient Grade It Now Save & Continue Continue without saving 1. The properties of point estimators A paint estimator is a sample statistic that provides a point estimate of a population parameter. Complete the following statements about point estimators. smaller expected value A point estimator is said to be consistent If, as the sample size is increased provide better estimates of the smaller standard error population parameter. larger standard error A point estimator is said to be unbiased if its_expected value is equal to larger expected value parameter that it estimates. Given two unbiased estimators of the same population parameter, the estimator with the smaller expected value relatively more efficient Grade It Now Save & Continue Continue without saving 1. The properties of point estimators A point estimator is a sample statistic that provides a point estimate of a population parameter. Complete the following statements about point estimators. A point estimator is said to be consistent If, as the sample size is increased, the estimator tends to provide better estimates of the consistent relatively more efficient be unbiased If its_expected value is equal to the value of the population parameter that it estimates. unbiased kors of the same population parameter, the estimator with the smaller expected value relatively more efficient is Grade It Now Save & Continue Continue without saving

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