types of measurements practice

Question 1

Political affiliation: republica, democrat, independant

Answer 1

nominal

Question 2

College classification (freshman, sophomore, junior, senior)

Answer 2

nominal

Question 3

social security number (hint: the number is just a label)

Answer 3

nominal

Question 4

Amount of time it takes a pain reliever to work

Answer 4

ratio

Question 5

length or width of a room

Answer 5

ratio

Question 6

order of runners finishing a race

Answer 6

ordinal

Question 7

gender

Answer 7

nominal

Question 8

a five-point likert scale with values “strongly agree,” “agree,” “neutral,” “disagree,” and “strongly agree”

Answer 8

interval

Question 9

average number or cell phones owned by families in Cisco, TX

Answer 9

ratio

Question 10

My level of happiness, rated from 1 to 10

Answer 10

interval

Question 11

Amount of Household Income Above (+) or Below (-) Poverty Level

Answer 11

interval

Question 12

Body Temperature in Degrees Fahrenheit

Answer 12

interval

Question 13

Client Ranking of Leisure Activities from Least (1) to Most (5) Preferred

Answer 13

ordinal

Question 14

Client Identification Number

Answer 14

nominal

Question 15

Heart Rate (beats per minute)

Answer 15

ratio

Question 16

hair color of women on a high school tennis team

Answer 16

nominal

Question 17

numbers on the shirts of a girlʹs soccer team

Answer 17

nominal

Question 18

ages of students in a statistic class

Answer 18

ratio

Question 19

temperatures of 22 selected refrigerators

Answer 19

interval

Question 20

number of milligrams of tar in 28 cigarettes

Answer 20

ratio

Question 21

number of pages in your statistics book

Answer 21

ratio

Question 22

marriage status (married, single, or divorced) of the faculty at the University of Colorado

Answer 22

nominal

Question 23

list of 1247 social security numbers

Answer 23

nominal

Question 24

he ratings of a movie ranging from ʺpoorʺ to ʺgoodʺ to ʺexcellentʺ

Answer 24

ordinal

Question 25

the final grades (A, B, C, D, and F) for students in a statistics class

Answer 25

ordinal

Question 26

the annual salaries for all teachers in California

Answer 26

ratio

Question 27

list of zip codes for Chicago

Answer 27

nominal

Question 28

he nationalities listed in a recent survey (for example, Asian, European, or Hispanic).

Answer 28

nominal

Question 29

the amounts of fat (in grams) in 44 cookies

Answer 29

ratio

Question 30

the years the summer Olympics were held in the United States

Answer 30

interval

Question 31

numbers of touchdowns scored by a major university in five randomly selected games

Answer 31

ratio

Question 32

the average daily temperatures (in degrees Fahrenheit) on five randomly selected days

Answer 32

interval

Question 33

manuscripts rated ʺacceptableʺ or ʺunacceptableʺ

Answer 33

ordinal

Question 34

the lengths (in minutes) of the top ten movies wth respect to ticket sales in 2007

Answer 34

ratio

Question 35

define nominal scale of measurement

Answer 35

Describes a measurement system where there are differences in quality rather than quantity. Nomin, meaning name. These measure items that are categorical or discrete in nature. Variables are labels, always qualitative. (Political party membership)

Question 36

define ordinal scale of measurement

Answer 36

variables imply intensity or severity. Assigns numbers to observation in a sequence, from lesser to greater; explains how variables can be ordered along some type of continuum; have rank; (USDA stickers placed on cuts of meat (prime, lean, etc.)

Question 37

define interval scale of measurement

Answer 37

Interval scales are numeric scales in which we know not only the order, but also the exact differences between the values. The classic example of an interval scale is temperature because the difference between each value is the same. They don’t have a “true zero.” For example, there is no such thing as “no temperature.”

Question 38

define ratio scale of measurement

Answer 38

uses absolute zero corresponding to an absence of the trait or characteristic being measured; usually used in physical and biological sciences (height, weight, speed of travel, Percentage scores on an exam)