In: Statistics and Probability
The data in the table show the number of pounds of bananas sold per week at a grocery store when the banana display was positioned in the produce, milk, and cereal sections of the store.
a) Perform a one-way ANOVA using
alphaαequals=0.05
to determine if there is a difference in the average number of pounds of bananas sold per week in these three locations.
b) If warranted, perform a multiple comparison test to determine which pairs are different using
alphaαequals=0.050
Pounds of Bananas Sold
Produce (1) |
Milk (2) |
Cereal (3) |
|
---|---|---|---|
30 |
45 |
44 |
|
49 |
54 |
45 |
|
47 |
50 |
43 |
|
40 |
39 |
32 |
|
41 |
Complete the ANOVA summary table below.
Source |
Sum of Squares |
Degrees of Freedom |
Mean Sum of Squares |
F |
---|---|---|---|---|
Between |
||||
Within |
||||
Total |
Please help, I am very confused
a)
Source of variation | SS | df | MS | F | |
between | 64.200 | 2.0000 | 32.10 | 0.66 | |
within | 485.800 | 10.0000 | 48.58 | ||
total | 550.000 | 12.0000 |
as test statistic 0.66 is less then crtiical value =4.10 at 0.05 level and (2,10) degree of freedom ; therefore we fail to reject the null hypothesis
we do not have evidence to conclude that there is a difference in the average number of pounds of bananas sold per week in these three locations
b)
as null hypothesis is not rejected ; we are not required to do further tests