1-2 Variables and types of data

Question 1

QuLItative variables

Answer 1

Distinct categories according to some characteristics or attributes

Example: gender, geographic, and religious preferences

Question 2

QuANtitative variables

Answer 2

variables that can be counted or measured

Example: age, heights , weights, body temp.

Question 3

Discrete variables

Answer 3

assume values that can be counted

Example: number of children in a family

Question 4

continuos variables

Answer 4

assume an infinite number of values in an interval between any two specific values

(often includes decimals or fractions)

Example: temperature

Question 5

Boundary

Answer 5

number that is defined in a class

Example: 72.5 - 73.5, all values up to 73.5 but not including 73.5

Question 6

measurement scale

Answer 6

how variables are categorized, counted, or measured

Question 7

What are the four types of measurement scales

Answer 7

nominal, ordinal, interval , and ratio

Question 8

nominal

Answer 8

mutually exclusive categories in which no order or ranking can be imposed on the data

Example: classify resident by zip code

Question 9

ordinal

Answer 9

categories that can be ranked, however precise differences between the ranks aren’t there

Example : letter grades, student evaluation (poor, excellent, etc.)

Question 10

interval

Answer 10

ranks data, precise differences between units of measure do not exist, no meaningful zero

Example: psychological tests yield measurement on interval scale, temperature

Question 11

ratio

Answer 11

all characteristics of intervals, true zero exists, true ratio exist when the same variables is measurement on two different members of the population

Example: height, weight, area, etc.