The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals who are in marketing. Three groups are considered: management, research and advertising (higher scores indicate higher ethical values). Marketing Managers Marketing Research Advertising 10 5 10 7 5 8 4 10 5 7 9 5 a. Compute the values identified below (to 2 decimal, if necessary). Sum of Squares, Treatment 135 Sum of Squares, Error 7.50 Mean Squares, Treatment 78.50 Mean Squares, Error 0.50
The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals who are in marketing. Three groups are considered: management, research and advertising (higher scores indicate higher ethical values). Marketing Managers Marketing Research Advertising 10 5 10 7 5 8 4 10 5 7 9 5 a. Compute the values identified below (to 2 decimal, if necessary). Sum of Squares, Treatment 135 Sum of Squares, Error 7.50 Mean Squares, Treatment 78.50 Mean Squares, Error 0.50
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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Question
![b. Use a = .05 to test for a significant difference in perception among the three groups.
Calculate the value of the test statistic (to 2 decimals).
157.00
The p-value is
less than .01
What is your conclusion?
Conclude the mean perception scores for the three groups are not all the same
c. Using a =
.05, determine where differences between the mean perception scores occur.
Calculate Fisher's LSD value (to 2 decimals).
0.87
Test whether there is a significant difference between the means for marketing managers (1), marketing research specialists (2), and advertising specialists (3).
Difference Absolute Value
Conclusion
0.50
Significant difference
T1 – T2
6.00
Significant difference
¤1 – T3
6.50
Significant difference
T2 – T3](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F33160543-4887-41c4-b0aa-028daf39fe31%2F9049f73c-9e32-460e-9c65-310ed5de6ac1%2Fw84gh7_processed.png&w=3840&q=75)
Transcribed Image Text:b. Use a = .05 to test for a significant difference in perception among the three groups.
Calculate the value of the test statistic (to 2 decimals).
157.00
The p-value is
less than .01
What is your conclusion?
Conclude the mean perception scores for the three groups are not all the same
c. Using a =
.05, determine where differences between the mean perception scores occur.
Calculate Fisher's LSD value (to 2 decimals).
0.87
Test whether there is a significant difference between the means for marketing managers (1), marketing research specialists (2), and advertising specialists (3).
Difference Absolute Value
Conclusion
0.50
Significant difference
T1 – T2
6.00
Significant difference
¤1 – T3
6.50
Significant difference
T2 – T3
![The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals who are in marketing. Three
groups are considered: management, research and advertising (higher scores indicate higher ethical values).
Marketing Managers
Marketing Research
Advertising
9.
10
8
10
7
9.
8
9.
4
9.
10
7
5
a. Compute the values identified below (to 2 decimal, if necessary).
Sum of Squares, Treatment
135
Sum of Squares, Error
7.50
78.50
Mean Squares, Treatment
Mean Squares, Error
0.50](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F33160543-4887-41c4-b0aa-028daf39fe31%2F9049f73c-9e32-460e-9c65-310ed5de6ac1%2Fnqy1okx_processed.png&w=3840&q=75)
Transcribed Image Text:The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals who are in marketing. Three
groups are considered: management, research and advertising (higher scores indicate higher ethical values).
Marketing Managers
Marketing Research
Advertising
9.
10
8
10
7
9.
8
9.
4
9.
10
7
5
a. Compute the values identified below (to 2 decimal, if necessary).
Sum of Squares, Treatment
135
Sum of Squares, Error
7.50
78.50
Mean Squares, Treatment
Mean Squares, Error
0.50
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