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CENTRAL LIMIT THEOREM In many of the problems from the last unit, you were given information about the population. For many of the variables, it was assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge - if the population is not normal, can you make any inferences about that population from your random samples? MAIN POST: Think about the type of data (age, gender, ethnic background, salary, years of service, etc.) that is collected in your current work environment, future work environment, or something that interests you. 1. Describe the type of data and how it is/would be collected. 2. Why is it essential to be able to have reasonable estimates for a sample of this information? 3. What is/would be the typical size of a sample of data collected? Is it large enough to apply the Central Limit Theorem?

CENTRAL LIMIT THEOREM In many of the problems from the last unit, you were given information about the population. For many of the variables, it was assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge - if the population is not normal, can you make any inferences about that population from your random samples? MAIN POST: Think about the type of data (age, gender, ethnic background, salary, years of service, etc.) that is collected in your current work environment, future work environment, or something that interests you. 1. Describe the type of data and how it is/would be collected. 2. Why is it essential to be able to have reasonable estimates for a sample of this information? 3. What is/would be the typical size of a sample of data collected? Is it large enough to apply the Central Limit Theorem?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 9SGR
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CENTRAL LIMIT THEOREM In many of the problems from the last unit, you were given information about the population. For many of the variables, it was assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge - if the population is not normal, can you make any inferences about that population from your random samples? MAIN POST: Think about the type of data (age, gender, ethnic background, salary, years of service, etc.) that is collected in your current work environment, future work environment, or something that interests you. 1. Describe the type of data and how it is/would be collected. 2. Why is it essential to be able to have reasonable estimates for a sample of this information? 3. What is/would be the typical size of a sample of data collected? Is it large enough to apply the Central Limit Theorem?
Transcribed Image Text:CENTRAL LIMIT THEOREM In many of the problems from the last unit, you were given information about the population. For many of the variables, it was assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge - if the population is not normal, can you make any inferences about that population from your random samples? MAIN POST: Think about the type of data (age, gender, ethnic background, salary, years of service, etc.) that is collected in your current work environment, future work environment, or something that interests you. 1. Describe the type of data and how it is/would be collected. 2. Why is it essential to be able to have reasonable estimates for a sample of this information? 3. What is/would be the typical size of a sample of data collected? Is it large enough to apply the Central Limit Theorem?
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