A supermarket manager has asked you to help assess different shelf locations. To identify which location has the best salesH0: average sales FRONT= average sales MIDDLE = average sales REARH1: at least one of the average sales differs Your analysis is shown in the following SPSS output:ANOVA Sales Sum of SquaresdfMean SquareFSig. Between Groups48.444224.22214.105 .000 Within Groups25.760151.717 Total74.20417 Multiple ComparisonsDependent Variable: sales in $1000Bonferroni (I) shelf space location 1=front; 2=middle; 3= rear(J) shelf space location 1=front; 2=middle; 3= rearMean Difference (I-J)Std. ErrorSig.95% Confidence IntervalLower BoundUpper Bound124000.000*756.601.0001961.926038.0832333.333*756.601.023295.254371.4221-4000.000*756.601.000-6038.08-1961.923-1666.667756.601.131-3704.75371.4231-2333.333*756.601.023-4371.42-295.2521666.667756.601.131-371.423704.75*. The mean difference is significant at the 0.05 level. Question: Given the SPSS output above, what would you decide?

Calculated F=14.105 , P=0.000 which is < 0.05 level of significance . Ho is rejected. There is…

Answered: A supermarket manager has asked you to…

FINANCIAL ACCOUNTING

10th Edition

ISBN:9781259964947

Author:Libby

Publisher:Libby

Chapter1: Financial Statements And Business Decisions

Section: Chapter Questions

Problem 1Q

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A supermarket manager has asked you to help assess different shelf locations. To identify which location has the best sales

H0: average sales FRONT= average sales MIDDLE = average sales REAR

H1: at least one of the average sales differs

Your analysis is shown in the following SPSS output:

ANOVA

Sales

	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	48.444	2	24.222	14.105	.000
Within Groups	25.760	15	1.717
Total	74.204	17

Multiple Comparisons
Dependent Variable: sales in $1000
Bonferroni
(I) shelf space location 1=front; 2=middle; 3= rear	(J) shelf space location 1=front; 2=middle; 3= rear	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
Lower Bound	Upper Bound
1	2	4000.000^*	756.601	.000	1961.92	6038.08
3	2333.333^*	756.601	.023	295.25	4371.42
2	1	-4000.000^*	756.601	.000	-6038.08	-1961.92
3	-1666.667	756.601	.131	-3704.75	371.42
3	1	-2333.333^*	756.601	.023	-4371.42	-295.25
2	1666.667	756.601	.131	-371.42	3704.75
*. The mean difference is significant at the 0.05 level.

Question: Given the SPSS output above, what would you decide?

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