In: Statistics and Probability
It might be predicted that consumer buying behavior would vary
with the location of products in a store. Therefore, a team of
market researchers looked at the sales per day for a known and
unknown brand of candy bars. Additionally, the researchers placed
the candy bars in the usual location and next to the cash register
in different stores. What can the market researchers conclude with
an α of 0.05?
known brand | unknown brand | ||
usual | register | usual | register |
16 24 29 17 26 30 18 |
25 15 16 20 31 27 19 |
11 6 9 13 14 7 11 |
19 18 16 21 22 17 19 |
a) What is the appropriate test statistic?
---Select--- na one-way ANOVA within-subjects ANOVA two-way
ANOVA
b) Obtain/compute the appropriate values to make a
decision about H0.
Location: critical value = _____________ ; test
statistic = _____________
Decision: ---Select--- Reject H0 or Fail to reject
H0
Brand: critical value = _____________ ; test
statistic = _____________
Decision: ---Select--- Reject H0 or Fail to reject
H0
Interaction: critical value =_____________
; test statistic = _____________
Decision: ---Select--- Reject H0 or Fail to reject
H0
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
Location: η2 =_____________
; ---Select--- na trivial effect small
effect medium effect large effect
Brand: η2 =_____________
; ---Select--- na trivial effect small
effect medium effect large effect
Interaction: η2 =_____________
; ---Select--- na trivial effect small
effect medium effect large effect
a)
Answer: two-way ANOVA
Explanation:
Since we want to see the effect of two factors Location and the Brand on the dependent variable (sales per day), the two-factor ANOVA with replication analysis is performed to test the hypothesis.
b)
Answer:
Location: critical value = 4.2597 ; test
statistic = 20.8501
Decision: Reject H0
Brand: critical value = 4.2597; test statistic =
5.0247
Decision: Reject H0
Interaction: critical value = 4.2597 ; test
statistic = 7.9678
Decision: Reject H0
Explanation:
The two factor ANOVA test three null hypothesis as shown below,
The Null and Alternative Hypotheses are,
H01: There is no difference in the means of factor A
HA1: There is a significant difference in the means of factor A
H02: There is no difference in means of factor B
HA2: There is a significant difference in means of factor B
H03: There is no interaction between factors A and B
HA3: There is a significant interaction between factors A and B
Where factor A is the Location, factor B is the Brand.
The test is performed in excel by using the following steps,
Step 1: Write the data values in excel. The screenshot is shown below,
Step 2: DATA > Data Analysis > ANOVA: Two Factor With Replication > OK. The screenshot is shown below,
Step 3: Select Input Range: All the data values column, Rows per Sample: 7, Alpha = 0.05. The screenshot is shown below,
The result is obtained. The screenshot is shown below,
Results of the study
Source of Variation | F | F crit | Decision | |
Location | 20.8501 | > | 4.2597 | Reject H0 |
Brand | 5.0247 | > | 4.2597 | Reject H1 |
Interaction | 7.9678 | > | 4.2597 | Reject H2 |
c)
Answer:
Location: η2 = 0.3605; large
effect
Brand: η2 = 0.0869; medium effect
Interaction: η2 = 0.1378 ; large
effect
Explanation:
The effect size is obtained as follows,
For Location,
If the effect size is 0.14 or more, the effect is large
For Brand,
If the effect size is 0.06 to 0.14, the effect is medium
For interaction,
If the effect size is 0.14 or more, the effect is large