Question

1. Tell me about a hypothesis that you would like to test that relates to marketing/consumer behavior. What is the null hypothesis? What is the alternative hypothesis?

2. You run an ANOVA analysis to see if families from different regions of the US spend the same amount of time at Universal. The results are statistically significant. What does that tell you? What else, if anything, must you do if the results are significant?

Answer 1

A hypothesis that relates to marketing or consumer behaviour could be that of a company which is launching a new product trying to find out if there is a difference in the spending habits of males and females during big sales. So the null hypothesis could be that there is no difference in the mean spending while the alternative hypothesis could be that there is a difference.

To check the ANOVA analysis our hypothesis is:

H0: the mean amount of time spent by families from different regions is the same

H1: the mean amount of time spent by families from different regions is different

The results are statistically significant means we reject the null hypothesis at the given level of significance and conclude that the mean of time in different regions is different.

Once this is true we need to conduct tukey test, post hoc analysis to find out which region differs from the others, which is the greatest, which is the least