The data set Exam1.sav contains customer data from across the country. There are 131 variables (WOW!) that measure many aspects of a customer’s profile. Many are scale variables with a nominal (categories) counterpart. For example the variable ed measures a customer’s years of education while the variable edcat assigns those years to categories. There are three variables response_01 , response_02 , and response_03 that can be considered as dependent variable. The remaining 129 can be considered as factors that affect these variables.

Task 1

Choose any of the factors and write a research question that

1. Compares groups
2. Looks at the strength of associations
3. Is only descriptive.

Task 2

Pick any scale variable and its categorical counterpart.

1. Determine the "magic numbers" for the scale variable.
2. Produce a histogram for the scale variable.
3. Produce a frequency table for the categorical counterpart.
4. Produce a bar chart for the categorical counterpart.

Task 3

1. The age variable is, of course, scale. Create a new variable agecat with the following categories
   <16
   18-24
   25-34
   35-49
   50-64
   >=65
   No Response
2. Produce a bar chart and frequency table for this variable.
3. Write a paragraph describing the age of the customers in the data set using the table and chart.

Task 4

Pick any scale variable and write a one paragraph description of the variable. Be sure to reference all appropriate tables and charts.

Price: $13.27

Solution: The downloadable solution consists of 7 pages, 627 words and 7 charts.
Deliverable: Word Document