Univariate Analysis

Question 1

How data points cluster around the mean.

Answer 1

Standard Deviation

Question 2

The average distance of each score from the mean.

Answer 2

Standard Deviation

Question 3

Measure of central tendency that is the most occuring number.

Answer 3

mode

Question 4

The age of students in SOWK 310 tend to range from 21-23. On age, this group is homogeneous. Would you expect a small or large standard deviation?

Answer 4

small

Question 5

AVERAGE. This measure of central tendency is easily inflated by outliers.

Answer 5

mean

Question 6

What is the mode of 10, 10, 20, 50, 10, 20?

Answer 6

10, it occurs the most

Question 7

What is the median of 10, 10, 20, 50, 10, 20, 15?

Answer 7

1st put the numbers in order 10, 10, 10, 15, 20, 20, 50.

The middle # is 15.

Question 8

When can a mean misrepresent the central tendency of a variable (e.g., age or income) ?

Answer 8

When there are a handful of extreme data points, these outliers can deflate or inflate the average.

e. g. 1 on age, a 6 month old in the data could deflate the mean
e. g., 2 on income, an individual earning $ 1 million might inflate the average).

Question 9

Univariate analysis that tells you how often an event occurred in the data. It is generally done on each quantitative variable/question in the study.

Answer 9

Frequency Distribution

Question 10

Measure of central tendency where 50% of data points fall below & 50% fall above it.
e.g., Housing is skewed toward poor housing. ____ is helpful in handling skewed data.

Answer 10

Median

Question 11

Highest point minus the lowest point in the data.

Answer 11

Range

Question 12

A type of graph where a bar may represent the combined frequencies of several codes.Therefore, we can use it to see the shape of the distribution.

Answer 12

Histogram

Question 13

A type of graph where each bar represents a single code (e.g., grade).

Answer 13

Bar Graph