Chapter 2: Statistics Flashcards
The act of assigning numbers or symbols to characteristics of things according to rules.
Measurement.
This refers to methods used to provide concise description of a collection of quantitative information.
Descriptive statistics.
This refers to methods used to make inferences from observations of a small group of people known as sample to a larger group of individuals known as population.
Inferential statistics.
This refers to the property of “moreness.”
Magnitude.
This refers to when the difference between two points at any place on the scale has the same meaning as the difference between two other points that differ by the same number of scale units.
Equal intervals.
This refers to when nothing of the property being measured exists.
Absolute zero (Absolute 0).
A set of numbers whose properties model empirical properties of the objects to which the numbers are assigned.
Scale.
This refers to the collective influence of all the factors on a test score or measurement beyond those specifically measured by the test or measurement.
Error.
The four (4) levels of the scales of measurement.
- Nominal
- Ordinal
- Interval
- Ratio
This involves classification or categorization based on one or more distinguishing characteristics.
Nominal.
This involves rank ordering on some characteristics.
Ordinal.
This contains equal intervals but has no absolute zero point.
Interval.
This has a true zero point.
Ratio.
This refers to statistics that indicates the average or midmost score between the extreme scores in a distribution.
Measures of central tendency.
This refers to the average of all the raw scores.
Mean.
This refers to the middle score in a distribution.
Median.
This refers to the most frequently occurring score in the distribution.
Mode.
An indication of how scores in a distribution are scattered or dispersed.
Variability.
This refers to statistics that describe the amount of variation in a distribution.
Measures of variability.
This is the bell-shaped, smooth, mathematically defined curve that is highest at its center.
Normal curve.
The normal curve is also known as?
Gaussian curve.
This refers to a raw score that has been converted from one scale to another scale.
Standard score.
This results from the conversion of a raw score into a number indicating how many SD (standard deviation) units the raw score is below or above the mean of the distribution.
Z-scores.
A scale with a mean set at 50 and a standard deviation set at 10.
T-scores.