Q4. A buffalo, your cola distributor is featuring a super-special sale on 12-pac
ID: 3374643 • Letter: Q
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Q4. A buffalo, your cola distributor is featuring a super-special sale on 12-packs. She wonders where in the grocery store to place the cola for maximum attention. Should it be near the front door of the grocery stores. In the cola section, at the checkout registers, or near the milk and other dairy products? Four stores, with similar totals sales coopters, or near the milk and other dairy products?for stores with stacks near the front door, in another they were placed near the checkout registers, and so on. Sales were checked at specified times in each store exactly four minutes. The results were:
The Buffalo distributor wants to find out whether there is a difference in the mean sales for cola stacked at the four locations in the stores. Use the .05 Significance level
Soft Drink Selection New Registers Dairy Section $5 $7 $10 10 10 9 12 9 6 4 4 11 9 5 7Explanation / Answer
Our significance level is 0.05, to check whether there is any difference or not, let's do a one way anova test
the hypothesis is that all the means are equal and the alternative that they are different.
If our p-value is less than 0.05 we will know that all these means are from different populations and hence they are different.
The anova results are -
F value Pr(>F)
0.439 0.654
Clearly our p-value is >0.05
So there is no difference in the mean sales for cola stacked at these locations
#R-code for the results
soft_drink_section <- c(5,10,12,4,9)
new_registers <- c(7,10,9,4,5)
dairy_section <- c(10,9,6,11,7)
grouped <- data.frame(cbind(soft_drink_section, new_registers, dairy_section))
summary(grouped)
stacked <- stack(grouped)
anova <- aov(values ~ ind, data = stacked)
summary(anova)
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