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Title: Whenever a sampled population is normally distributed or whenever the conditions of the Central ... Post by: partygirl4u59 on Feb 19, 2023 Whenever a sampled population is normally distributed or whenever the conditions of the Central Limit Theorem are fulfilled, the sample mean\(\style{font-family:Times New Roman;}{\overline x}\): ▸ is a consistent estimator of the population meanμ because the mean of the sampling distribution of the sample mean equalsμ. ▸ is an efficient estimator of the population meanμ because the mean of the sampling distribution of the sample mean equalsμ. ▸ is an unbiased estimator of the population meanμ because the mean of the sampling distribution of the sample mean equalsμ. ▸ is a biased estimator of the population meanμ because the mean of the sampling distribution of the sample proportion equalsp. Title: Re: Whenever a sampled population is normally distributed or whenever the conditions of the Central ... Post by: melryandion on Feb 19, 2023 Content hidden
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