In: Statistics and Probability
Price | ||||
Low | Medium | High | ||
Low | 41 | 21 | 15 | |
Adv | 25 | 20 | 14 | |
23 | 16 | 13 | ||
Medium | 28 | 28 | 14 | |
30 | 22 | 13 | ||
32 | 18 | 12 | ||
High | 50 | 34 | 13 | |
51 | 40 | 13 | ||
52 | 32 | 13 |
Steps in excel : (office button, excel options, add ins, data analysis tool pack)
Data, data analysis, two factor anova with replication (as the given data is two factor each with 3 levels. The factors are price and advertisement. The 3 levels are low, medium and high)
as p-value for the
advertising effects as well as for prices are very low as compared
to 0.05,we reject the null hypothesis and conclude there is
significant effect of these factors on the sales. Also p-value for
interaction is 0.001<0.05 so null hypothesis is rejected and we
conclude there is valid interaction effect.
Graph : select the averages and go to insert, bar, 2d bar to display the graph
explanations : the blue bar
describes how the advertising effect when on low level varies over
the price at different levels. For example the blue bar
corresponding to 1 has a value 29.6667 that is, advertising effect
at lower price has an average of 29.667 sales. Similar descriptions
goes for the other bars.