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This is the summary table for the ANOVA test:   S.S. d.f. M.S. Between 22.612239583333 3 7.5374131944444 Within 198.05895833333 188 1.0535050975177 TOTAL 220.67119791667 191 From this table, you obtain the necessary statistics for the ANOVA: F-ratio:  7.154605338127 p-value:  0.00014 η2=η2= 0.10247028065653 Use a significance level of α=0.01α=0.01.   Explain what this tells us about the equality of means?   Let's look at the boxplot for each treatment: See Attached Image How could boxplots refine our conclusion in an ANOVA test? Your answer should address this specific problem

This is the summary table for the ANOVA test:   S.S. d.f. M.S. Between 22.612239583333 3 7.5374131944444 Within 198.05895833333 188 1.0535050975177 TOTAL 220.67119791667 191 From this table, you obtain the necessary statistics for the ANOVA: F-ratio:  7.154605338127 p-value:  0.00014 η2=η2= 0.10247028065653 Use a significance level of α=0.01α=0.01.   Explain what this tells us about the equality of means?   Let's look at the boxplot for each treatment: See Attached Image How could boxplots refine our conclusion in an ANOVA test? Your answer should address this specific problem

MATLAB: An Introduction with Applications
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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This is the summary table for the ANOVA test:

  S.S. d.f. M.S.
Between 22.612239583333 3 7.5374131944444
Within 198.05895833333 188 1.0535050975177
TOTAL 220.67119791667 191

From this table, you obtain the necessary statistics for the ANOVA:
F-ratio:  7.154605338127
p-value:  0.00014
η2=η2= 0.10247028065653

Use a significance level of α=0.01α=0.01.

 

Explain what this tells us about the equality of means?

 
Let's look at the boxplot for each treatment:

See Attached Image

How could boxplots refine our conclusion in an ANOVA test? Your answer should address this specific problem.

Moderately High Moderate Low Moderate Severe Severe 1.1 0.1 2.8 2.8 3 1.6 2.2 3.1 0.1 2.6 3.3 1.7 This is the summary table for the ANOVA test: S.S. d.f. || M.S. Between 22.612239583333 3 7.5374131944444 Within 198.05895833333 188 1.0535050975177 TOTAL 220.67119791667 191 From this table, you obtain the necessary statistics for the ANOVA: F-ratio: 7.154605338127 p-value: 0.00014 n? = 0.10247028065653 What is your final conclusion? Use a significance level of a = 0.01. There is a significant difference between treatments These data do not provide evidence of a difference between the treatments Explain what this tells us about the equality of means. Let's look at the boxplot for each treatment: Severe Moderately Severe High Moderate Low Moderate 2 3 6 Depression Scores How could boxplots refine our conclusion in an ANOVA test? Your answer should address this specific problem. Question Help: Message instructor
Transcribed Image Text:Moderately High Moderate Low Moderate Severe Severe 1.1 0.1 2.8 2.8 3 1.6 2.2 3.1 0.1 2.6 3.3 1.7 This is the summary table for the ANOVA test: S.S. d.f. || M.S. Between 22.612239583333 3 7.5374131944444 Within 198.05895833333 188 1.0535050975177 TOTAL 220.67119791667 191 From this table, you obtain the necessary statistics for the ANOVA: F-ratio: 7.154605338127 p-value: 0.00014 n? = 0.10247028065653 What is your final conclusion? Use a significance level of a = 0.01. There is a significant difference between treatments These data do not provide evidence of a difference between the treatments Explain what this tells us about the equality of means. Let's look at the boxplot for each treatment: Severe Moderately Severe High Moderate Low Moderate 2 3 6 Depression Scores How could boxplots refine our conclusion in an ANOVA test? Your answer should address this specific problem. Question Help: Message instructor
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