Refer to Exercise 2.46 for a description of the problem and data set. 

a. The variable Satisfaction contains five ordered categories: Very Dissatisfied, Dissatisfied, Neutral, Satisfied, and Very Satisfied. Replace the category names with scores ranging from 1 (Very Dissatisfied) to 5 (Very Satisfied). What is the average satisfaction score of the players? 

b. The variable Enjoyment contains five ordered categories: Very Low, Low, Neutral, High, and Very High. Replace the category names with scores ranging from 1 (Very Low) to 5 (Very High). What is the average enjoyment score of the players? 

c. The variable Recommend contains five ordered categories: Definitely Will Not, Will Not, Neutral, Will, and Definitely Will. Replace the category names with scores ranging from 1 (Definitely Will Not) to 5 (Definitely Will). What is the average recommendation score of the players? 

d. The variable Type contains three unordered game categories: Action, Role Play, and Sports. To facilitate subsequent analyses, transform Type into dummy variables. Use the least frequent category as the reference category. Which category is the reference category? How many dummy variables should be created?

Data from Exercise 2.46

TurboX is a online video game company that makes three types of video games: action, role play, and sports. It is interested in understanding its millennial customers. By combining the data from its customer database and a customer survey, TurboX compiled a data set that has the following variables: the player’s satisfaction with the online game purchase experience (Satisfaction), the enjoyment level of the game played (Enjoyment), whether the player will recommend the game to others (Recommend), which type of game the player played (Type), total spending on games last year (SpendingLastYear), total spending on games this year (SpendingThisYear), and the date of birth of the player (BirthDate).

Transcribed Image Text:

Satisfaction Enjoyment Recommend Satisfied High Neutral Very Satisfied High B High ⠀ Neutral Will I Will *** BirthDate 7/30/1992 10/17/1984 I 8/11/1988