Which of the following statements about the Central Limit Theorem is/are TRUE? A. From a given population that is not normally distributed, the distribution of the sample means approaches a normal distribution as the sample size n increases. B. When a random variable X has a normal distribution, the distribution of the sample means will also be normal for any sample size n. O A only OB only O Neither A nor B O Both A and B

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Which of the following statements about the Central Limit Theorem is/are TRUE?
A. From a given population that is not normally distributed, the distribution of the sample means approaches a
normal distribution as the sample size n increases.
B. When a random variable X has a normal distribution, the distribution of the sample means will also be
normal for any sample size n.
O A only
O B only
O Neither A nor B
O Both A and B
Transcribed Image Text:Which of the following statements about the Central Limit Theorem is/are TRUE? A. From a given population that is not normally distributed, the distribution of the sample means approaches a normal distribution as the sample size n increases. B. When a random variable X has a normal distribution, the distribution of the sample means will also be normal for any sample size n. O A only O B only O Neither A nor B O Both A and B
Which of the following is false about estimation?
O The objective of estimation is to approximate the value of a population parameter using a statistic.
O The endpoints of a confidence interval estimate are the best point estimates of the parameter.
O The z-score associated with 98% confidence level is 2.33.
O An interval estimator with 95% confidence means that if multiple samples of the same size are taken from the population,
about 95% of these samples will be intervals that capture the actual population parameter.
Transcribed Image Text:Which of the following is false about estimation? O The objective of estimation is to approximate the value of a population parameter using a statistic. O The endpoints of a confidence interval estimate are the best point estimates of the parameter. O The z-score associated with 98% confidence level is 2.33. O An interval estimator with 95% confidence means that if multiple samples of the same size are taken from the population, about 95% of these samples will be intervals that capture the actual population parameter.
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