Understanding Categorical Variables: Analyzing Blu-ray Player Usage in Scenario 1-1

categorical variable, types of dataSCENARIO 1-1The manager of the customer service division of a major consumer electronics company is interestedin determining whether the customers who have purchased a Blu-ray player made by the companyover the past 12 months are satisfied with their products.8. Referring to Scenario 1-1, the possible responses to the question “How many Blu-ray playersmade by other manufacturers have you used?” are values from a. a) discrete variable.. b) continuous variable.. c) categorical variable.. d) table of random numbers.

The possible responses to the question “How many Blu-ray players made by other manufacturers have you used?” in Scenario 1-1 are values from a categorical variable

The possible responses to the question “How many Blu-ray players made by other manufacturers have you used?” in Scenario 1-1 are values from a categorical variable.

A categorical variable is a variable that can take on values from a limited predefined set of categories or groups. In this case, the possible responses to the question fall into categories such as “none,” “1-2,” “3-5,” “more than 5,” or any other predetermined range or set of options.

Discrete variables, on the other hand, are variables that take on specific numerical values within a countable set, such as the number of Blu-ray players owned by an individual (e.g., 0, 1, 2, 3, etc.). Continuous variables, meanwhile, can take any value within a range or interval, such as a person’s height or weight.

Therefore, the possible responses to the question about the number of Blu-ray players made by other manufacturers used by customers in Scenario 1-1 would be considered a categorical variable.

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