This case study analyzes sales data of a children's product (Kidzee) stored at different shelf heights. ANOVA was conducted to determine if shelf height significantly impacted sales. The null hypothesis that sales are the same across shelf heights was rejected, as the calculated F value of 9.6 was greater than the critical F value of 4.26. It was concluded that sales differed significantly by shelf height, with the eye level performing best.

1. Case study on ANOVA
Arjama Mukherjee
DM14D08
Core-Marketing

2. Data
Knee level Waist level Eye level
Weekday_morning 64 72 80
Weekday_evening 68 76 84
Weekend_morning 72 80 88
Weekend_evening 76 84 92

3. 1st step
• Create null hypothesis
Ho = Sales of kidzee has got no significant impact on
keeping it at different shelf height at level of
significance 0.05
Mean(k)=Mean(w)=Mean(e) at L.O.S=0.05

4. Step 2
• Group mean
70,78,76
• Grand mean
78

5. Step 3
• Degrees of freedom within
9
• Degrees of freedom among
2

6. F table

7. Data view
Variable view

8. SS among = 512
SS within = 240
f = 9.6

9. Interpretation
If fobs>ftable then we reject Ho
f table = f (2,9) at 0.05 L.O.S = 4.26
Since fobs > f table(critical) thus, we Reject Ho

11. Conclusion
• Sales are significantly different at different shelf height
• Best shelf height = eye level (because group level of eye is highest)
P obs = 0.006
P Ho = 0.05
Therefore we reject Ho.

12. Thanking You