This s all the data that is include. It does not need more but rather a process thought.

For each analysis, write out the null hypothesis, explain what the analysis is looking at, calculate anything you think needs calculating (like expected cell counts), identify whether you think the null is right, and then tell the manager what the results mean.

This s all the data that is include. It does not need more but rather a process thought.

Correlations- I have put the following correlations into a matrix form.Each r is the correlation between the row variable and the column variable.The p value for each r is located immediately below the r.

#+ Age $ spent $ spent Household in on our size category brand Age r= .33 r=.15 r = .18 p =.05 p= .57 $ Spent in category p=.23 r =.33 r = .48 r=.67 p =.13 p =.01 $ spent on our p =.01 r= .15 brand r =.48 r = .04 p=.57 p=.01 Household size p =.74 r= .18 r=.67 r =.04 p =.23 p = .01 p=.74