Level of Measurement
Organization of Data
Central Tendency
Variability
Normal Distribution
100

3 Nominal Variables.

Examples: town name, place of birth, race, religion, ethnicity

Tip: nominal variables cannot be rank order, there is no actual number intrinsically attached to the variable, it is in name only. Nominal = name

100

Differences between a bar chart and histogram.

Answer: In a bar chart, the bars that represent the categories of a variable are spaced so that one bar is not directly next to another. While in a histogram, the bars actually touch one another.

100

Mode for the following distribution of scores is ____.

45, 9, 21, 34, 62, 97, 34

Answer: 34

100

Consider the variable, type of birth control practiced (for example, an IUD, condoms, none, etc). 

The measure of variability is best suited to describe variation for this variable is the ____.

IQV

100

Suppose that the area above some Z score is 0.31, which when multiplied by 100 equals 31%. 

The term for this quantity is the ____

Answer: percentile rank

200

3 Ordinal Variables.

Examples: satisfaction rating, letter grade (A, B, C etc.), class rank (freshman, sophomore, etc.)

Tip: ordinal = ordered

200

Difference between frequency distributions for nominal and ordinal variables.

The order in which the categories are listed. Ordinal variables must be ascending or descending. Nominal variables do not need to be in any specific order.

200

The median for this distribution is ____.

14, 4, 12, 7, 10, 9

Answer: 9.5

200

The range for the following scores is ____.

26, 25, 18, 92, 87, 43, 44

Answer: 74

200

The percentage of the area under the normal curve falls between ±1 standard deviations is ____.

Answer: 68.26

300

3 Interval Ratio Variables.

Examples: age, actual income, percentage scored on a test

Tip: Interval-ratio = actual numbers

300

About 13% of survey respondents in a sample reported that they do not attend religious services regularly. 

The proportion of survey respondents who report attending religious services regularly is _____.

Answer: 0.87

To get this:

100% - 13% = 87% / 100 = .87

300

The mean for this distribution is _____.

14, 4, 12, 7, 10, 9

Answer: 9.33

300

What information does a box plot visually present?

range, IQR, median, minimum/lowest score, maximum/highest score

300

Show the class how to calculate Z scores on the whiteboard.

On the whiteboard.

400

Explain dichotomous variables and provide two examples.

Yes/No

Married/Unmarried

Employed/Unemployed

400

A survey of 3,055 respondents asked whether or not anyone had been widowed. Eighty persons responded “yes.” 

The percentage of respondents that have never been widowed is ______.

Answer: 97.38%

To get this:

3055 - 80 = 2975

2975/3055 = .9738 x 100 = 97.38%

400

The measure of central tendency that is more susceptible to extreme values is the _____.

Answer: mean

400

Explain what the IQR is and how to find it. 

The middle 50% of the distribution.

Q3 - Q1 = OQR

75% - 25%

400

In a sample, the mean is 70.07 and the standard deviation is 10.27. 

Find the Z score that corresponds to a raw score of 80.

Answer: 0.97

To get this answer use the formula to find Z.

500

Compare and contrast discrete variables and continuous variables. Provide two examples for each.

Discrete Variable Examples: number of children, number of people in a class. Tip: Discrete variables cannot be subdivided.

Continuous Variable Examples: length, age, temperature, weight, speed, time. Tip: these can be broken down into smaller and smaller units

500

In a sample of 310 people, 186 completed only high school, 24 completed only some college, 93 completed a two-year or four-year college, and 7 attended graduate school. 

You need to find the proportion of the sample that has some college or more.

Answer: 0.4

To get this:

Add some college = 24 + 93 + 7 = 124

124/310 = 0.4

500

For the following data, compare the mode, median, and mean.

11, 43, 84, 55, 2, 13, 9, 32, 2, 14, 21, 11, 2

Answers:

mode = 2

median = 13

mean = 23

500

The standard deviation for the following distribution:

100, 99, 56, 62, 88

20.74

500

Scores for an exam are normally distributed with a mean of 235 and a standard deviation of 52. 

Find the area beyond for a score of 287.

Z = (287-235) / 52 = 52/52

Z = 1

In Appendix B find a Z score of 1. 

Find the area beyond Z. 

0.1587.

M
e
n
u