QUESTION 3A researcher wanted to check whether the BMI of Canadian adults with obesity has increased in 2009 compared to 2005. He used Health Canada data. A randomly selected 29 Canadian adults from 2005 data gave a mean of 26.4 and a standard deviation of 1; A randomly selected 26 Canadian adults from 2009 data gave a mean of 27.3 with a standard deviation of 1.3. BMI is normally distributed in each year with the same variance. He wants to develop a 98% confidence interval for the change in BMI. Let population1 be 2005 data and population2 be 2009 data. Write down the critical value

Name: QUESTION 3A researcher wanted to check whether the BMI of Canadian adu
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Description: QUESTION 3A researcher wanted to check whether the BMI of Canadian adults with obesity has increased in 2009 compared to 2005. He used Health Canada data. A randomly selected 29 Canadian adults from 2005 data gave a mean of 26.4 and a standard deviat

Given; n1=29 n2=26x¯1=26.4 x¯2=27.3s1=1 s2=1.3 98%…

Answered: A researcher wanted to check whether…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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QUESTION 3

A researcher wanted to check whether the BMI of Canadian adults with obesity has increased in 2009 compared to 2005. He used Health Canada data. A randomly selected 29 Canadian adults from 2005 data gave a mean of 26.4 and a standard deviation of 1; A randomly selected 26 Canadian adults from 2009 data gave a mean of 27.3 with a standard deviation of 1.3. BMI is normally distributed in each year with the same variance. He wants to develop a 98% confidence interval for the change in BMI. Let population1 be 2005 data and population2 be 2009 data. Write down the critical value

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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