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Statistics: Ch 7 Sample Variability (6 of 14) What is the Central Limit Theorem (CLT)?
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What is the Central Limit Theorem (CLT)? The mean of the sampling distribution of the sample means equals the mean of the population. The standard deviation of the sampling distribution of the sample means is equal to the standard deviation of the population divided by the square root of the sample size.
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Statistics: Ch 7 Sample Variability (2 of 14) Two Useful Distributions of a Sample
Statistics: Ch 7 Sample Variability (1 of 14) Why Do We Sample the Population?
Statistics: Ch 7 Sample Variability (9 of 14) Calculate Mean & Standard Deviation of the Populat...
Statistics: Ch 7 Sample Variability (4 of 14) The Shape of the Distribution of Sample Means
Statistics: Ch 7 Sample Variability (3 of 14) The Inference of the Sample Distribution
Statistics: Ch 7 Sample Variability (7 of 14) Distribution of the Sample Means
Statistics: Ch 7 Sample Variability (10 of 14) Calculate the Mean and Standard Deviation of the Mean
Statistics: Ch 7 Sample Variability (8 of 14) Distribution of the Sample Ranges
Statistics: Ch 7 Sample Variability (12 of 14) Sampling Distribution: Ex. 1
Statistics: Ch 7 Sample Variability (14 of 14) Sampling Distribution: Ex. 3
Statistics: Ch 7 Sample Variability (6 of 14) What is the Central Limit Theorem (CLT)?
Statistics: Ch 7 Sample Variability (5 of 14) The Standard Deviation Depends on Sample Size
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Statistics: Ch 7 Sample Variability (13 of 14) Sampling Distribution: Ex. 2
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