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If j, an unbiased estimator of j, is consistent, then the (a)distribution of j becomes more and more loosely distributed around j as the sample

  1. If j, an unbiased estimator of j, is consistent, then the

(a)distribution of j becomes more and more loosely distributed around j as the sample size grows.

(b)distribution of j becomes more and more tightly distributed around j as the sample size grows.

(c)distribution of j tends toward a standard normal distribution as the sample size grows.

(d)distribution of j remains una ected as the sample size grows.

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