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СА9 Chi-square test – Goodness-of-fit test Solve the following problem: In the 2010 U.S. Census, the ages of individuals in a small town were found to be the following: <18 20% 18-35 30% 235 50% in 2010, ages of n=500 individuals from the same small town were sample. Below are the results: <18 18-35 235 121 288 91 Using alpha=.05, would you conclude that the population distribution of ages has changed in those 10 vears?

СА9 Chi-square test – Goodness-of-fit test Solve the following problem: In the 2010 U.S. Census, the ages of individuals in a small town were found to be the following: <18 20% 18-35 30% 235 50% in 2010, ages of n=500 individuals from the same small town were sample. Below are the results: <18 18-35 235 121 288 91 Using alpha=.05, would you conclude that the population distribution of ages has changed in those 10 vears?

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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СА9 Chi-square test - Goodness-of-fit test Solve the following problem: In the 2010 U.S. Census, the ages of individuals in a small town were found to be the following: <18 20% 18-35 30% 235 50% in 2010, ages of n=500 individuals from the same small town were sample. Below are the results: s18 121 18-35 235 288 91 Using alpha=.05, would you conclude that the population distribution of ages has changed in those 10 years?
Transcribed Image Text:СА9 Chi-square test - Goodness-of-fit test Solve the following problem: In the 2010 U.S. Census, the ages of individuals in a small town were found to be the following: <18 20% 18-35 30% 235 50% in 2010, ages of n=500 individuals from the same small town were sample. Below are the results: s18 121 18-35 235 288 91 Using alpha=.05, would you conclude that the population distribution of ages has changed in those 10 years?
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