Analysis for Big Bazaar Case Study

Analysis for Big Bazaar Case Study

Big Bazaar wanted to examine the impact of shelf space & level of merchandising on the consumer offtake from the retail outlet .Two variables such as shelf space and merchandising were taken into consideration for the purpose of testing whether these variables have any significant impact on increasing sales

Shelf space has been categorised in 3 types :

Pop shelf – 1

Windows – 2

Shelf rack – 3

Whereas merchandising types are:

Full set – 1

Retail Pack – 2

No display pack – 3

We take sales of 24 retail stores.

Our hypothesis is as follows:

Ho: Shelf space has equal impact on sales (µ1=µ2=µ3)

Ho :Merchandising has equal impact on sales (µ1=µ2=µ3)

On doing the ANOVA analysis we find that:

Shelf Space

Mean of all the 3 factors are not the same ,therefore we check the significance level

On checking we find that the significance level is .000,which means that shelf space has a significant effect on sales under 95% confidence interval(99% confidence Interval).ETA^2 for shelf space is  76.6% which is very significant which means that if shelf space increases sales increases.

ω^2  for shelf space =73.16%

F value for Shelf space =34.398.

Merchandising

Mean of all the 3 factors are not the same ,

On checking we find that the significance level .650 ,  which means that merchandising has a very low significance on sales (35% confidence interval).ETA^2 for merchandising 4.12%

ω^2  for shelf space =1.58%

F value for Shelf space =45.23%

Shelf Space & Merchandising

ON evaluating we find that the significance level for both shelf space and merchandising taken together is .987 which shows that both considered together will have negligible effect on sales.