Chapter Four - Descrbing Quantative Data

Question 1

Nominal level

Answer 1

Measurement involves naming an attribute of the participants or their responses

Question 2

Ordinal level

Answer 2

Measurement on a scale that allows data to be put in an order, but differences between the points on the scale are not the same

Question 3

Interval level

Answer 3

Measurement on a scale where the differences, the intervals, between the points on the scale are the same

Question 4

Mean

Answer 4

An average that is calculated by adding together all the items and then dividing the total by the number of items.
The mean is one way of describing an average score, there are other ways of calculating average scores.

Question 5

Inferential statistics

Answer 5

Statistical texts that permit conclusions to be drawn from quantitive data generated by researcher

Question 6

Range

Answer 6

A measure of dispersion representing the difference between the smallest and the largest score in a data set

Question 7

Standard deviation

Answer 7

A descriptive statistic that represents the average amount by which individual values in the data differ (or deviate) from the mean.

Question 8

Variance

Answer 8

A measure of dispersion which involves subtracting the mean from each score and squaring the result, and then arriving at an average of these values. By taking the squads root of the variance, the standard deviation can be calculated

Question 9

Descriptive statistics

Answer 9

These are used to describe features of a data set; for example, the mean and the standard deviation

Question 10

Evaluative conditioning

Answer 10

Liking or disliking something because it has been associated with something positive or negative