The x distribution must be normal in order to use a chi-square distribution to test the variance. What are some methods you can use to assess whether the x distribution is normal?Hint: Try utilizing a goodness-of-fit test. (Select all that apply.) Look at a residual plot for a parabolic pattern. Look at a normal quantile plot to check for a curved line. Use a histogram or boxplot to check for symmetry and outliers. Use a goodness-of-fit test to see if the distribution follows the empirical rule. Look at a normal quantile plot to check for a straight line
The x distribution must be normal in order to use a chi-square distribution to test the variance. What are some methods you can use to assess whether the x distribution is normal?Hint: Try utilizing a goodness-of-fit test. (Select all that apply.) Look at a residual plot for a parabolic pattern. Look at a normal quantile plot to check for a curved line. Use a histogram or boxplot to check for symmetry and outliers. Use a goodness-of-fit test to see if the distribution follows the empirical rule. Look at a normal quantile plot to check for a straight line
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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The x distribution must be normal in order to use a chi-square distribution to test the variance. What are some methods you can use to assess whether the x distribution is normal?
Hint: Try utilizing a goodness-of-fit test. (Select all that apply.)
Look at a residual plot for a parabolic pattern.
Look at a normal quantile plot to check for a curved line.
Use a histogram or boxplot to check for symmetry and outliers.
Use a goodness-of-fit test to see if the distribution follows the empirical rule .
Look at a normal quantile plot to check for a straight line
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