Question

In: Statistics and Probability

The following data are from an experiment designed to investigate the perception of corporate ethical values...

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
5 4 10
4 4 11
3 3 10
4 3 9
5 4 10
3 3 10

a. Compute the values identified below (to 2 decimal, if necessary).

Sum of Squares, Treatment
Sum of Squares, Error
Mean Squares, Treatment
Mean Squares, Error

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).

the p-value=

The -value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 6

What is your conclusion?

- Select your answer -Cannot conclude there are differences among the mean perception scores for the three groupsConclude the mean perception scores for the three groups are not all the sameItem 7

c. Using , determine where differences between the mean perception scores occur.

Calculate Fisher's LSD value (to 2 decimals).

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
xbar1-xbar2
xbar1-xbar3
xbar2-xbar3

Solutions

Expert Solution

a)

sum of square; treatment= 157.00
sum of square; error= 7.50
mean square; treatment= 78.50
mean square; error= 0.50

b)

value of the test statistic =157

p value = less than .01

Conclude the mean perception scores for the three groups are not all the sameI

c)

critical value of t with 0.05 level and N-k=15 degree of freedom= tN-k= 2.131
Fisher's (LSD) for group i and j =                  (tN-k)*(sp*√(1/ni+1/nj)           = 0.87
Difference Absolute Value Conclusion
x1-x2 0.50 not significant difference
x1-x3 6.00 significant difference
x2-x3 6.50 significant difference

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