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18 Dec 2021
Problem 79
Page 617
Section: HOMEWORK
Chapter 11: THE CHI-SQUARE DISTRIBUTION
Textbook ExpertVerified Tutor
18 Dec 2021
Given information
The predicted values in a goodness-of-fit test are the values we would expect if the null hypothesis were true.
Step-by-step explanation
Step 1.
To assess if the observed and predicted values are significantly different, the Chi-square goodness-of-fit test is utilized. Two hypotheses are made in a goodness-of-fit test. The null hypothesis holds that observed values match expected values, while the alternative hypothesis holds that the opposite is true. As a result, predicted values are what we'd expect if the null hypothesis is correct.
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Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208
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