5.5 -9.4 13.3 0.6 9.6 12.3 -5.9 4.5 8.6 19.4 12.9 5.8 -9.6 5.4 0.3 -0.7 12.6 0.4 -11.3 1.3 -3.1 -0.3 -5.3 -5.1 2.3 -1.8 -0.1 2.5 2.4 10.7 2.3 16.4 3.9 -11.1 -0.8 16.1 -0.1 1. State the null and alternative hypotheses. 2. Compute the test statistic. Document how SSTR and SSE were computed. Use 4 decimal places for the sample means, sample standard deviations and the grand mean and round your answers for SSTR and SSE to 2 decimal places.
5.5 -9.4 13.3 0.6 9.6 12.3 -5.9 4.5 8.6 19.4 12.9 5.8 -9.6 5.4 0.3 -0.7 12.6 0.4 -11.3 1.3 -3.1 -0.3 -5.3 -5.1 2.3 -1.8 -0.1 2.5 2.4 10.7 2.3 16.4 3.9 -11.1 -0.8 16.1 -0.1 1. State the null and alternative hypotheses. 2. Compute the test statistic. Document how SSTR and SSE were computed. Use 4 decimal places for the sample means, sample standard deviations and the grand mean and round your answers for SSTR and SSE to 2 decimal places.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
In addition to the photos, an anova table must be completed as well as finding the p value
Transcribed Image Text:A https:
5.5
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13.3
0.6
9.6
12.3
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4.5
8.6
19.4
12.9
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0.3
-0.7
12.6
0.4
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1.3
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2.3
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2.5
2.4
10.7
2.3
16.4
3.9
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-0.8
16.1
-0.1
1. State the null and alternative hypotheses.
2. Compute the test statistic. Document how SSTR and SSE were computed. Use 4 decimal places for the
sample means, sample standard deviations and the grand mean and round your answers for SSTT and SSE
to 2 decimal places.
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Transcribed Image Text:Background: Anorexia is well known to be difficult to treat. The data set provided below contains data on the
weight gain for three groups of young female anorexia patients. These groups include a control group, a group
receiving cognitive behavioral therapy and a group receiving family therapy. Source: Hand, D. J., Daly, F.,
McConway, K., Lunn, D. and Ostrowski, E. eds (1993) A Handbook of Small Data Sets. Chapman & Hall, Data set
285 (р. 229).
Directions: Click on the Data button below to display the data. Copy the data into a statistical software
package and click the Data button a second time to hide it. Then perform an analysis of variance (ANOVA) to
determine whether or not the differences in weight gain between the treatment groups is statistically
significant.
Data
Control
СВТ
Family
2.7
1.1
12
0.8
-8.3
11.9
1.5
-4.5
5.9
0.5
11.3
8.7
-3.2
-2.8
13
13.1
-9
-3.5
4.4
-13.1
-0.2
17.6
10
5.7
-7
-6.5
23.2
3.5
-3.9
10.5
-0.3
-3.4
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