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If j,an Unbiased Estimator of j,is Also a Consistent

Question 14

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If If <sub>j</sub>,an unbiased estimator of <sub>j</sub>,is also a consistent estimator of <sub>j</sub>,then when the sample size tends to infinity: A) the distribution of <sub>j</sub>collapses to a single value of zero. B) the distribution of <sub>j</sub>diverges away from a single value of zero. C) the distribution of <sub>j</sub>collapses to the single point <sub>j</sub>. D) the distribution of <sub>j</sub>diverges away from <sub>j</sub>. j,an unbiased estimator of If <sub>j</sub>,an unbiased estimator of <sub>j</sub>,is also a consistent estimator of <sub>j</sub>,then when the sample size tends to infinity: A) the distribution of <sub>j</sub>collapses to a single value of zero. B) the distribution of <sub>j</sub>diverges away from a single value of zero. C) the distribution of <sub>j</sub>collapses to the single point <sub>j</sub>. D) the distribution of <sub>j</sub>diverges away from <sub>j</sub>. j,is also a consistent estimator of If <sub>j</sub>,an unbiased estimator of <sub>j</sub>,is also a consistent estimator of <sub>j</sub>,then when the sample size tends to infinity: A) the distribution of <sub>j</sub>collapses to a single value of zero. B) the distribution of <sub>j</sub>diverges away from a single value of zero. C) the distribution of <sub>j</sub>collapses to the single point <sub>j</sub>. D) the distribution of <sub>j</sub>diverges away from <sub>j</sub>. j,then when the sample size tends to infinity:


A) the distribution of If <sub>j</sub>,an unbiased estimator of <sub>j</sub>,is also a consistent estimator of <sub>j</sub>,then when the sample size tends to infinity: A) the distribution of <sub>j</sub>collapses to a single value of zero. B) the distribution of <sub>j</sub>diverges away from a single value of zero. C) the distribution of <sub>j</sub>collapses to the single point <sub>j</sub>. D) the distribution of <sub>j</sub>diverges away from <sub>j</sub>. jcollapses to a single value of zero.
B) the distribution of If <sub>j</sub>,an unbiased estimator of <sub>j</sub>,is also a consistent estimator of <sub>j</sub>,then when the sample size tends to infinity: A) the distribution of <sub>j</sub>collapses to a single value of zero. B) the distribution of <sub>j</sub>diverges away from a single value of zero. C) the distribution of <sub>j</sub>collapses to the single point <sub>j</sub>. D) the distribution of <sub>j</sub>diverges away from <sub>j</sub>. jdiverges away from a single value of zero.
C) the distribution of If <sub>j</sub>,an unbiased estimator of <sub>j</sub>,is also a consistent estimator of <sub>j</sub>,then when the sample size tends to infinity: A) the distribution of <sub>j</sub>collapses to a single value of zero. B) the distribution of <sub>j</sub>diverges away from a single value of zero. C) the distribution of <sub>j</sub>collapses to the single point <sub>j</sub>. D) the distribution of <sub>j</sub>diverges away from <sub>j</sub>. jcollapses to the single point
If <sub>j</sub>,an unbiased estimator of <sub>j</sub>,is also a consistent estimator of <sub>j</sub>,then when the sample size tends to infinity: A) the distribution of <sub>j</sub>collapses to a single value of zero. B) the distribution of <sub>j</sub>diverges away from a single value of zero. C) the distribution of <sub>j</sub>collapses to the single point <sub>j</sub>. D) the distribution of <sub>j</sub>diverges away from <sub>j</sub>. j.
D) the distribution of If <sub>j</sub>,an unbiased estimator of <sub>j</sub>,is also a consistent estimator of <sub>j</sub>,then when the sample size tends to infinity: A) the distribution of <sub>j</sub>collapses to a single value of zero. B) the distribution of <sub>j</sub>diverges away from a single value of zero. C) the distribution of <sub>j</sub>collapses to the single point <sub>j</sub>. D) the distribution of <sub>j</sub>diverges away from <sub>j</sub>. jdiverges away from
If <sub>j</sub>,an unbiased estimator of <sub>j</sub>,is also a consistent estimator of <sub>j</sub>,then when the sample size tends to infinity: A) the distribution of <sub>j</sub>collapses to a single value of zero. B) the distribution of <sub>j</sub>diverges away from a single value of zero. C) the distribution of <sub>j</sub>collapses to the single point <sub>j</sub>. D) the distribution of <sub>j</sub>diverges away from <sub>j</sub>. j.

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