r answer). 4) One corollary of the Central Limit Theorem is that for a sufficiently large sample size (n>30), if all possible samples of size n are taken, the average value of the sample means is equal to the population mean. Since the mean of the sampling distribution is equal to the population mean, is: a) a biased estimator b) an unbiased estimator c) a random estimator d) a controlled variable e) a parameter

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r answer).
4) One corollary of the Central Limit Theorem is that for a
sufficiently large sample size (n>30), if all possible samples
of size n are taken, the average value of the sample means
is equal to the population mean. Since the mean of the
sampling distribution is equal to the population mean, is:
a) a biased estimator
b) an unbiased estimator
c) a random estimator
d) a controlled variable
e) a parameter
Transcribed Image Text:r answer). 4) One corollary of the Central Limit Theorem is that for a sufficiently large sample size (n>30), if all possible samples of size n are taken, the average value of the sample means is equal to the population mean. Since the mean of the sampling distribution is equal to the population mean, is: a) a biased estimator b) an unbiased estimator c) a random estimator d) a controlled variable e) a parameter
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