3. The cable company thinks it has to communicate differently to men and women and wonders if the key performance indicator (KPI) of overall satisfaction is different by gender. Articulate the null hypothesis and the alternative hypothesis Ho and Ha. What do the data say on this point? Can you accept or reject the null Ho? What statistical test informs your answer? Ho: Customer satisfaction is not reliant on gender. Ha: Customer satisfaction depends on gender Doing an independent sample T test and Looking at the sig(2 tailed) value, we can accept the null Ho hypothesis that customer satisfaction does not rely on gender. There is no difference between gender and customer satisfaction. 4. If the company is concerned with weak performance on overall satisfaction, what do these data suggest it should focus on to improve overall satisfaction or do the data suggest the customers are already happy? For overall satisfactions, using central tendencies and standard deviation customers are neither satised or dissatised with their cable service. Satisfaction seems to be relatively similar across the board. Maybe they should introduce a new service for peak satisfaction. 5. Do you think Country Cable has addressed all their questions as a result of the ad campaign and infrastructure changes? If you were to (re) design the study, what would you do differently? I think that Country Cable should ask their customers questions such as: Did you see the advertisement regarding infrastructure changes? Has your satisfaction increased or decreased in the past year? How often do you use our cable