Case study on ANOVAArjama Mukherjee

DM14D08Core-Marketing

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

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

Step 2• Group mean

70,78,76

• Grand mean78

Step 3• Degrees of freedom within

9

• Degrees of freedom among2

F table

Data view Variable view

SS among = 512SS within = 240f = 9.6

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

Conclusion• Sales are significantly different at different shelf height• Best shelf height = eye level (because group level of eye is highest)

P obs = 0.006P Ho = 0.05

Therefore we reject Ho.

Thanking You