Statistics studies both qualitative and quantitative
variables. (T/F)
Answers
true is rhe corect amswrr
Answer:
True.
Extra Information
In statistics, a variable has two defining characteristics:
» A variable is an attribute that describes a person, place, thing, or idea.
» The value of the variable can "vary" from one entity to another.
For example, a person's hair color is a potential variable, which could have the value of "blond" for one person and "brunette" for another.
Variables can be classified as qualitative (aka, categorical) or quantitative (aka, numeric).
→ Qualitative
Qualitative variables take on values that are names or labels. The color of a ball (e.g., red, green, blue) or the breed of a dog (e.g., collie, shepherd, terrier) would be examples of qualitative or categorical variables.
→ Quantitative
Quantitative variables are numeric. They represent a measurable quantity. For example, when we speak of the population of a city, we are talking about the number of people in the city - a measurable attribute of the city. Therefore, population would be a quantitative variable.
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