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If j, an Unbiased Estimator of j, Is

Question 10

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If If   <sub>j</sub>, an unbiased estimator of   <sub>j</sub>, is consistent, then the: A) distribution of   <sub>j</sub> becomes more and more loosely distributed around   <sub>j</sub> as the sample size grows. B) distribution of   <sub>j</sub> becomes more and more tightly distributed around   <sub>j</sub> as the sample size grows. C) distribution of   <sub>j</sub> tends toward a standard normal distribution as the sample size grows. D) distribution of   <sub>j</sub> remains unaffected as the sample size grows. j, an unbiased estimator of If   <sub>j</sub>, an unbiased estimator of   <sub>j</sub>, is consistent, then the: A) distribution of   <sub>j</sub> becomes more and more loosely distributed around   <sub>j</sub> as the sample size grows. B) distribution of   <sub>j</sub> becomes more and more tightly distributed around   <sub>j</sub> as the sample size grows. C) distribution of   <sub>j</sub> tends toward a standard normal distribution as the sample size grows. D) distribution of   <sub>j</sub> remains unaffected as the sample size grows. j, is consistent, then the:


A) distribution of If   <sub>j</sub>, an unbiased estimator of   <sub>j</sub>, is consistent, then the: A) distribution of   <sub>j</sub> becomes more and more loosely distributed around   <sub>j</sub> as the sample size grows. B) distribution of   <sub>j</sub> becomes more and more tightly distributed around   <sub>j</sub> as the sample size grows. C) distribution of   <sub>j</sub> tends toward a standard normal distribution as the sample size grows. D) distribution of   <sub>j</sub> remains unaffected as the sample size grows. j becomes more and more loosely distributed around If   <sub>j</sub>, an unbiased estimator of   <sub>j</sub>, is consistent, then the: A) distribution of   <sub>j</sub> becomes more and more loosely distributed around   <sub>j</sub> as the sample size grows. B) distribution of   <sub>j</sub> becomes more and more tightly distributed around   <sub>j</sub> as the sample size grows. C) distribution of   <sub>j</sub> tends toward a standard normal distribution as the sample size grows. D) distribution of   <sub>j</sub> remains unaffected as the sample size grows. j as the sample size grows.
B) distribution of If   <sub>j</sub>, an unbiased estimator of   <sub>j</sub>, is consistent, then the: A) distribution of   <sub>j</sub> becomes more and more loosely distributed around   <sub>j</sub> as the sample size grows. B) distribution of   <sub>j</sub> becomes more and more tightly distributed around   <sub>j</sub> as the sample size grows. C) distribution of   <sub>j</sub> tends toward a standard normal distribution as the sample size grows. D) distribution of   <sub>j</sub> remains unaffected as the sample size grows. j becomes more and more tightly distributed around If   <sub>j</sub>, an unbiased estimator of   <sub>j</sub>, is consistent, then the: A) distribution of   <sub>j</sub> becomes more and more loosely distributed around   <sub>j</sub> as the sample size grows. B) distribution of   <sub>j</sub> becomes more and more tightly distributed around   <sub>j</sub> as the sample size grows. C) distribution of   <sub>j</sub> tends toward a standard normal distribution as the sample size grows. D) distribution of   <sub>j</sub> remains unaffected as the sample size grows. j as the sample size grows.
C) distribution of If   <sub>j</sub>, an unbiased estimator of   <sub>j</sub>, is consistent, then the: A) distribution of   <sub>j</sub> becomes more and more loosely distributed around   <sub>j</sub> as the sample size grows. B) distribution of   <sub>j</sub> becomes more and more tightly distributed around   <sub>j</sub> as the sample size grows. C) distribution of   <sub>j</sub> tends toward a standard normal distribution as the sample size grows. D) distribution of   <sub>j</sub> remains unaffected as the sample size grows. j tends toward a standard normal distribution as the sample size grows.
D) distribution of If   <sub>j</sub>, an unbiased estimator of   <sub>j</sub>, is consistent, then the: A) distribution of   <sub>j</sub> becomes more and more loosely distributed around   <sub>j</sub> as the sample size grows. B) distribution of   <sub>j</sub> becomes more and more tightly distributed around   <sub>j</sub> as the sample size grows. C) distribution of   <sub>j</sub> tends toward a standard normal distribution as the sample size grows. D) distribution of   <sub>j</sub> remains unaffected as the sample size grows. j remains unaffected as the sample size grows.

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