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. Circle all of the comments that describe the Central Limit Theorem a) If the parent population is normally distributed, then the distribution of normal distribution b) If we don't know anything about the parent population, then a sample of suffice to say that μ = μ As our sample size increases, the sampling mean becomes more and mor bell shaped in appearance. d) Regardless of the population that we started drawing from, if we draw a amount of samples (n> 30), then the sampling mean we be approximately approaches the center of the curve is approximately 3.5.

. Circle all of the comments that describe the Central Limit Theorem a) If the parent population is normally distributed, then the distribution of normal distribution b) If we don't know anything about the parent population, then a sample of suffice to say that μ = μ As our sample size increases, the sampling mean becomes more and mor bell shaped in appearance. d) Regardless of the population that we started drawing from, if we draw a amount of samples (n> 30), then the sampling mean we be approximately approaches the center of the curve is approximately 3.5.

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 20PFA
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. Circle all of the comments that describe the Central Limit Theorem a) If the parent population is normally distributed, then the distribution of also has a normal distribution b) If we don't know anything about the parent population, then a sample of n = 15 will suffice to say that μ = μ As our sample size increases, the sampling mean becomes more and more normal or bell shaped in appearance. d) Regardless of the population that we started drawing from, if we draw a significant amount of samples (n> 30), then the sampling mean we be approximately normal. e) The limit as n approaches the center of the curve is approximately 3.5.
Transcribed Image Text:. Circle all of the comments that describe the Central Limit Theorem a) If the parent population is normally distributed, then the distribution of also has a normal distribution b) If we don't know anything about the parent population, then a sample of n = 15 will suffice to say that μ = μ As our sample size increases, the sampling mean becomes more and more normal or bell shaped in appearance. d) Regardless of the population that we started drawing from, if we draw a significant amount of samples (n> 30), then the sampling mean we be approximately normal. e) The limit as n approaches the center of the curve is approximately 3.5.
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