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AJ 0.900 25. Which of the following is not a true statement about the Central Limit Theorem for sample means? A) If conditions are met, the mean of the sampling distribution is equal to the population mean. B) The Central Limit Theorem helps us find probabilities for sample means when those means are based on a random sample from a population. C) If the sample size is large, it doesn't matter what the distribution of the population it was drawn from is, the normal distribution can still be used to perform statistical inference. D) All of these statements are true about the Central Limit Theorem for sample means.

AJ 0.900 25. Which of the following is not a true statement about the Central Limit Theorem for sample means? A) If conditions are met, the mean of the sampling distribution is equal to the population mean. B) The Central Limit Theorem helps us find probabilities for sample means when those means are based on a random sample from a population. C) If the sample size is large, it doesn't matter what the distribution of the population it was drawn from is, the normal distribution can still be used to perform statistical inference. D) All of these statements are true about the Central Limit Theorem for sample means.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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AJ 0.900 25. Which of the following is not a true statement about the Central Limit Theorem for sample means? A) If conditions are met, the mean of the sampling distribution is equal to the population mean. B) The Central Limit Theorem helps us find probabilities for sample means when those means are based on a random sample from a population. C) If the sample size is large, it doesn't matter what the distribution of the population it was drawn from is, the normal distribution can still be used to perform statistical inference. D) All of these statements are true about the Central Limit Theorem for sample means. 26. Which of the following statements is true about the t- distribution? A) Like the Normal distribution, the t- distribution is symmetric for small n. B) For small sample sizes, the t- distribution has the same properties as the normal curve. C) Since population standard deviation is usually unknown, the standard error uses the sample standard deviation to estimate population standard deviation. D) For large sample sizes, the t- distribution has the same properties as the normal curve.
Transcribed Image Text:AJ 0.900 25. Which of the following is not a true statement about the Central Limit Theorem for sample means? A) If conditions are met, the mean of the sampling distribution is equal to the population mean. B) The Central Limit Theorem helps us find probabilities for sample means when those means are based on a random sample from a population. C) If the sample size is large, it doesn't matter what the distribution of the population it was drawn from is, the normal distribution can still be used to perform statistical inference. D) All of these statements are true about the Central Limit Theorem for sample means. 26. Which of the following statements is true about the t- distribution? A) Like the Normal distribution, the t- distribution is symmetric for small n. B) For small sample sizes, the t- distribution has the same properties as the normal curve. C) Since population standard deviation is usually unknown, the standard error uses the sample standard deviation to estimate population standard deviation. D) For large sample sizes, the t- distribution has the same properties as the normal curve.
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