Crosstab Analysis and Interpretation

The video tutorial explains cross tabulations, or crosstabs, which organize two variables into a frequency table. It covers setting up a crosstab with variables, filling the cells by counting data, calculating row and column marginals, and determining row and column percentages. The tutorial concludes with a summary of the key points about crosstabs.

What is the primary purpose of a crosstab?

• To organize data into a pie chart

• To list all data entries

• To organize two variables into a frequency table

• To calculate averages

What is the key difference between row and column percentages?

• They are calculated the same way

• Row percentages tell you about row variables, column percentages tell you about column variables

• Column percentages are always lower

• Row percentages are always higher

Which two pieces of information are used in the data table?

• Age and gender

• Location and occupation

• Preference for Hulu or Netflix, and gender

• Income and education level

What are the row labels in the crosstab setup?

• Age groups

• Income levels

• Male and Female

• Hulu and Netflix

How many males prefer Hulu according to the crosstab?

• Two

• Three

• Four

• Five

How many females prefer Netflix?

• Five

• Four

• Three

• Two

What is the column marginal for males?

• 8

• 6

• 5

• 7

What should the total number of people in the data be?

• 11

• 10

• 13

• 12

How do you calculate the row percentage for Hulu male watchers?

• Divide the cell by the column marginal

• Subtract the cell from the row marginal

• Divide the cell by the row marginal

• Multiply the cell by the row marginal

What is the approximate row percentage of Netflix watchers that are male?

• 40%

• 57%

• 43%

• 50%