• Quantitative data measures an amount and can be ordered from smallest to largest.

  • Categorical data specifies qualities and is not subject to the laws of arithmetic — for example, we cannot take the “average” of a list of colors.

Note: Numbers can be sometimes be categorical rather than quantitative!

For each piece of data below, circle whether it is Categorical or Quantitative data.

1

Hair color

categorical quantitative

2

Age

categorical quantitative

3

ZIP Code

categorical quantitative

4

Year

categorical quantitative

5

Height

categorical quantitative

6

Sex

categorical quantitative

7

Street Name

categorical quantitative

For each question, circle whether it will be answered by Categorical or Quantitative data.

8

We’d like to find out the average price of cars in a lot.

categorical quantitative

9

We’d like to find out the most popular color for cars.

categorical quantitative

10

We’d like to find out which puppy is the youngest.

categorical quantitative

11

We’d like to find out which cats have been fixed.

categorical quantitative

12

We want to know which people have a ZIP code of 02907.

categorical quantitative

13

We’d like to sort a list of phone numbers by area code.

categorical quantitative

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