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The standard error measures: the variability in the population the variability of sample statistics O the variability of population parameters the variability of the sampled observations

The standard error measures: the variability in the population the variability of sample statistics O the variability of population parameters the variability of the sampled observations

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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3. The standard error measures: the variability in the population the variability of sample statistics the variability of population parameters the variability of the sampled observations 4. Which of the following is false about the central limit theorem (CLT)? As the sample size increases, the sampling distribution of the mean is more likely to be nearly normal, regardless of the shape of the original population distribution. If the population distribution is normal, the sampling distribution of the mean will also be nearly normal, regardless of the sample size. If we take more samples from the original population, the sampling distribution is more likely to be nearly normal. The CLT states that the sampling distribution will be centered at the true population parameter.
Transcribed Image Text:3. The standard error measures: the variability in the population the variability of sample statistics the variability of population parameters the variability of the sampled observations 4. Which of the following is false about the central limit theorem (CLT)? As the sample size increases, the sampling distribution of the mean is more likely to be nearly normal, regardless of the shape of the original population distribution. If the population distribution is normal, the sampling distribution of the mean will also be nearly normal, regardless of the sample size. If we take more samples from the original population, the sampling distribution is more likely to be nearly normal. The CLT states that the sampling distribution will be centered at the true population parameter.
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