test a marketing effect

[aha123]

Suppose a company has retail stores in two regions, A & B and ran a marketing campaign in region B for 3 months.

The average monthly store sales of last three months BEFORE the campaign of A is 5% higher than those of B.
The average monthly store sales of last three months AFTER the campaign of A is 8% higher than those of B.

I would like to know how to test 8% is significantly higher than 5%.

[hlsmith]

May be able to conduct a chi-square or Fisher's Exact Test.

[aha123]

how?


suppose the data look like below and month 1, 2,3 are before the marketing campaign and month 4, 5, 6 doing marketing campaign.

region, store#, month, sales
A, 001, 1, 100
A, 002, 1, 102
....
B, 101, 1, 67
B, 102, 1, 105
....
A, 001, 4, 99
A, 002, 4,110
...
B, 101, 4, 105
B, 102, 4, 121
....

[hlsmith]

Yes, you are correct this may not be the best formatting for that option.

[hlsmith]

You stated these are the average monthly sales, so perhaps this may fit into a repeated measures two-way ANOVA. Read about this procedure and see if it may fit your data. Please post replies with what you think or of any questions.

Sorry for misleading you before, for some reason my mind was not conceptualizing the description of those data correctly.