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Author Question: Compare your answers to the F-test and Kruskal-Wallis test and explain how to interpret these ... (Read 154 times)

Arii_bell

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on: Jun 24, 2018
Compare your answers to the F-test and Kruskal-Wallis test and explain how to interpret these results.
 
  What will be an ideal response?

Question 2

The advantage of using the interquartile range as a measure of variation is that it utilizes all the data in its computation.
 
  Indicate whether the statement is true or false


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nothere

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Reply #1 on: Jun 24, 2018
Answer to Question 1

In the F-test, we rejected H0 at  = 0.05, but failed to reject H0 under same level of significance in the Kruskal-Wallis test. The reason is that under the assumption of normality in the populations, nonparametric tests such as Kruskal-Wallis are less powerful than parametric tests, such as ANOVA.

Answer to Question 2

FALSE


Arii_bell

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Reply 2 on: Jun 24, 2018
:D TYSM

dreamfighter72

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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