Then, please write out the technical literature notation for an F test: F(df1, df2) = ? p </> .05 Did you reject the null hypothesis or not? Last, give a one-sentence description of what the main result was based on the data. What does this suggest about differences across the three groups in terms of anxiety scores? Analysis of Variance results:Responses: Anxicty ScoreFactors: GroupResponse statistics by factorGroupМeanStd. Dev.Std. Error1713.1428575.78586132.186851019.69.32380472.94844593811.755.33853911.8874586ANOVA tableSourceDFSSMSF-StatP-valueGroup2318.28286159.141432.96012710.0727Error221182.757153.761688Total241501.04Tukey HSD results (95% level)1 subtracted fromDifferenceLowerUpperP-value6.4571429-2.619859415.5341450.19713-1.3928571-10.9256168.1399020.92872 subtracted fromDifferenceLowerUpperP-value3-7.85-16.5869180.886918050.0836

1. F-Test is also known as Fisher's test. It is used to test the equality of variances of two normal…

Answered: Then, please write out the technical…

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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Then, please write out the technical literature notation for an F test:

F(df1, df2) = ? p </> .05

Did you reject the null hypothesis or not?

Last, give a one-sentence description of what the main result was based on the data. What does this suggest about differences across the three groups in terms of anxiety scores?

Analysis of Variance results:
Responses: Anxicty Score
Factors: Group
Response statistics by factor
Group
Мean
Std. Dev.
Std. Error
1
7
13.142857
5.7858613
2.18685
10
19.6
9.3238047
2.9484459
3
8
11.75
5.3385391
1.8874586
ANOVA table
Source
DF
SS
MS
F-Stat
P-value
Group
2
318.28286
159.14143
2.9601271
0.0727
Error
22
1182.7571
53.761688
Total
24
1501.04
Tukey HSD results (95% level)
1 subtracted from
Difference
Lower
Upper
P-value
6.4571429
-2.6198594
15.534145
0.1971
3
-1.3928571
-10.925616
8.139902
0.9287
2 subtracted from
Difference
Lower
Upper
P-value
3
-7.85
-16.586918
0.88691805
0.0836

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