discrete variable, types of data9. Referring to Scenario 1-1, the possible responses to the question “Are you happy, indifferent, orunhappy with the performance per dollar spent on the Blu-ray player?” are values from a. a) discrete numerical variable.. b) continuous numerical variable.. c) categorical variable.. d) table of random numbers.
The possible responses to the question “Are you happy, indifferent, or unhappy with the performance per dollar spent on the Blu-ray player?” fall into the category of a categorical variable
The possible responses to the question “Are you happy, indifferent, or unhappy with the performance per dollar spent on the Blu-ray player?” fall into the category of a categorical variable.
Categorical variables are variables that represent qualities or characteristics and are often divided into categories or groups. In this case, the possible responses represent different categories: happy, indifferent, and unhappy. Each response falls into a distinct category and cannot be further subdivided into smaller intervals or values.
Discrete numerical variables, on the other hand, are variables that take on distinct, separate values, but these values are typically numeric. Examples include the number of siblings a person has or the number of cars in a parking lot. Continuous numerical variables have an infinite number of possible values within a given range, such as height or weight.
A table of random numbers is a tool used in statistics to generate random numbers for various purposes, such as sampling or experimental design. It is not directly related to the types of data being collected in this scenario.
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