Unit 1 - Topic 2

Question 1

What are random variables?

Answer 1

If you randomly choose people from a list, their hair color, height, weight, and any other data collected can be considered random variables.

Question 2

What is the difference between quantitative and categorical variables?

Answer 2

Quantitative variables are numerical measures like height and IQ. Categorical are categories, like eye color and music preference

Question 3

What is the difference between quantitative and categorical data?

Answer 3

The data is the actual gathered measurements.
If it is eye color, the data would be categorical and look like “blue, brown, brown, brown, blue, green, blue, brown, etc.” The data from categorical variables are usually words, and often, it is simply “YES, YES, YES, NO, YES, NO.”

If it were weight, the data would be quantitative, like “125, 155, 223, 178, 222, etc..” The data from quantitative variables are numbers.

Question 4

What is a categorical variable?

Answer 4

Categorical variables, also called qualitative variables, take on values that are category names or group labels.
Examples: Hair Color, Type of Music liked, Gender, Sport preference, Spirit Animal, yes/no, etc.

Question 5

What is another name for categorical variables?

Answer 5

Qualitative variables

Question 6

What is quantitative data?

Answer 6

Numerical data.
The actual numbers that were gathered from each subject. 211 pounds. 67 beats per minute.

Question 7

What is a quantitative variable?

Answer 7

Quantitative variables take on numerical values for a measured or counted quantity.
Examples: Height, age, number of cars sold, SAT score

Question 8

What is categorical data?

Answer 8

The actual individual category from a subject, like “blue” or “female” or “sophomore”
Non-numeric answers

Question 9

What is a variable?

Answer 9

A characteristic that changes from one individual to another.