1)Identify the type (i.e.,categorical, numerical, discrete numerical) of each variable in the sample(e.g., Product, age, etc.)?
Q2)Analyze customer profiles for each product by creating appropriate tables and charts (e.g., summary tables, contingency tables, side-by-side bar charts,pie charts, stem and leaf display, frequency distribution tables, histograms etc.).In your analysis use at least one of each tables and charts listed in the parenthesisabove. Discuss your findingsvery briefly.
Q3)Analyzecustomer profiles for each product using descriptive statistics (mean, standard deviation, quartiles). Create at least two summary tables andtwoboxplotsfor each product. Discuss your findings very briefly.
Answer one of the following two questions:
Q4)(a) Create at least two (at least 4 in total) 95% confidence interval estimates of variables of your choice for each productand explain your results very briefly.
(b) Analyze whether there exists differences between males and females in theirmean age and mean income. Using an F-test first to check whether each population has the same variance and, then, use the relevant t-test to check the differences in means. Discuss your results very briefly. OR
Q5)BUSCON consultants would like to use this data to study the income level of each customer. They think that age, education, gender and relation status are the independent variables that might affect the income. Perform a multiple regression analysis to identify the significant variables and present your final model
