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Discrete variable
It refers to data that can be directly counted
Continuous variable
This refers to data that are measured
Error
It refers to the collective influence of all of the factors on a test score or measurement beyond those specifically measured by the test or measurement
Nominal Scale
This is the simplest form of measurement and involves classification or categorization based on one or more distinguishing characteristics.
Ordinal Scales
This scale also permits classification, but it specifically employs rank ordering on some characteristics.
Interval Scales
This scale contains equal intervals between numbers, each unit on the scale is exactly equal to any other unit on the scale and contains no absolute zero point.
Ratio Scale
This scale has a true zero point, as all mathematical operations can meaningfully be performed because there exist equal intervals between the numbers on the scale as well as a true or absolute zero point.
Distribution
This may be defined as a set of test scores arrayed for recording or study
Raw Score
This is a straightforward, unmodified accounting of performance that is usually numerical
Frequency Distribution
This is when all scores are listed alongside the number of times each score occurred.
Graph
It is a diagram or chart composed of lines, bars, or other symbols that describe and illustrate data.
Histogram
It is a graph with vertical lines drawn at the true limits of each test score, forming a series of contiguous rectangles.
Frequency Polygon
This expresses the data by a continuous line connecting the points where test scores meet frequencies
Measure of Central Tendency
A statistic that indicates the average of midmost score between the extreme scores in a distribution
Arithmetic Mean
This is denoted by the symbol X-bar, and is equal to the sum of the test scores divided by the number of observations. (interval/ratio, normal distri)
Median
This is defined as the middle score in a distribution and is another commonly used measure of central tendency. (ordinal, interval, ratio)
Mode
This is the most frequently occurring score in the distribution of scores (quali/verbal data)
Variability
This is an indication of how scores in a distribution are scattered or dispersed
Range
This is equal to the difference between the highest and the lowest scores, and is the simplest measure of variability to calculate.
Skewness
The lack of symmetry in a data distribution, where one stretches further from the center than the other.
Kurtosis
This refers to the steepness of a distribution in its center
Normal Curve
This is theoretically defined as a bell-shaped, smooth, mathematically defined curve that is highest at its center. It is perfectly symmetrical, with no skewness.
Standard Score
It is a raw score that has been converted from one scale to another scale, where the latter has some arbitrarily set mean and standard deviation