The robustness of the one-sample t test for a population mean tells us that the procedure is robust because it is valid even when the conditions are not met the procedure is valid even if we do not know the value of the population mean mu the procedure can be valid when the variable is not Normally distributed regardless of the sample size the procedure is valid even if we do not know the value of the population standard deviation sigma the procedure can be valid when the variable is not Normally distributed if the sample size is large enough
The robustness of the one-sample t test for a population mean tells us that the procedure is robust because it is valid even when the conditions are not met the procedure is valid even if we do not know the value of the population mean mu the procedure can be valid when the variable is not Normally distributed regardless of the sample size the procedure is valid even if we do not know the value of the population standard deviation sigma the procedure can be valid when the variable is not Normally distributed if the sample size is large enough
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 robustness of the one-sample t test for a population mean tells us that
the procedure is robust because it is valid even when the conditions are not met
the procedure is valid even if we do not know the value of the population mean mu
the procedure can be valid when the variable is not Normally distributed regardless of
the sample size
the procedure is valid even if we do not know the value of the population standard
deviation sigma
the procedure can be valid when the variable is not Normally distributed if the sample
size is large enough](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2f4f1088-8985-4d95-8675-acd8faf6be16%2F272e724b-712d-42e7-af70-180581aea761%2Fugo417_processed.png&w=3840&q=75)
Transcribed Image Text:The robustness of the one-sample t test for a population mean tells us that
the procedure is robust because it is valid even when the conditions are not met
the procedure is valid even if we do not know the value of the population mean mu
the procedure can be valid when the variable is not Normally distributed regardless of
the sample size
the procedure is valid even if we do not know the value of the population standard
deviation sigma
the procedure can be valid when the variable is not Normally distributed if the sample
size is large enough
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