00:01
For parts a and b, we have to test the null hypothesis that no differences exist between the effects of the bottle designs and supermarkets on the mean daily sales.
00:21
So with that, we can use an anova table.
00:25
So we will have on the left, starting with the source, the degrees of freedom, the ss, the ms, the f -stat, and the p -value.
00:46
So starting off with the source of the bottle that corresponds to 2, 421 .6, 210 .8, 689 .2, and 0 .000.
01:08
The market source corresponds with 3, 32 .8, 10 .9, 35 .7, and 0 .000.
01:28
The error source corresponds to 12, 1 .83, and 0 .153.
01:40
So now for the total, we have 17 and 586 .16.
01:53
So now looking at the anova table, the f -statistic for the bottle design is 689 .2, which is highly significant since the p -value is less than 0 .000...