1. Identify the tests that you should run in the situations given below based on a quantitative dataset. Give reasons justifying your selection as well.

a. “Age” has been captured as a categorical (nominal) variable in research having the categories like 16-25 years, 26-35 years, 36-45 years, 46-55 years, 56-65 years and 66 years and above. You need to test whether “Age” has a significant effect on the “Loyalty” that a person displays towards a particular brand. “Loyalty” has been measured using a 7-point Likert scale. Which test will you run and why?

b. In the same study, “Purchase Intention” towards a particular brand is also captured using a 7-point Likert scale. You need to test whether “Loyalty” has an impact on “Purchase Intention”. Which test will you run and why?

c. You also need to check whether the mean “Loyalty” score differs from the mean “Purchase Intention” score. Which test will you run and why?

d. The researcher wants to test whether the respondents display a more than average (i.e., 4 rating on Likert scale) “Purchase Intention” towards the brand. Which test will you run and why?

e. “Gender” has been captured as a nominal variable in the dataset having two categories – Male and Female. You need to test whether “Gender” influences the “Loyalty” of the respondent. Which test will you run and why?