Describing Data and Distributions Flashcards
Mean Deviation
An infrequently used measure of dispersion based, in part, on the absolute deviations from the mean of the distribution. Also known as the average deviation.
Bimodal Distribution
A distribution with two modes.
Central Tendency
The center or typicality of a distribution. The three most common measures of central tendency are the mean, median, and mode.
Dispersion
The extent to which the scores in a distribution are spread around the mean value or throughout. The two most commonly used measures of dispersion are the variance and the standard deviation.
Mean
The mean is calculated by summing all the scores in a distribution and dividing the sum by the total number of cases in the distribution.
Median
The score that divides a distribution in half; the point above and below which one-half of the scores or values are located. The formula for the median is positional and will tell you the position of the median in the distribution, not its value.
Mode
The response or value that appears most frequently in a distribution. The mode is the only measure of central tendency that is appropriate for nominal level data.
Mu
The mean of a population.
Range
A statement of the difference between the highest and lowest scores or values in a distribution. As a measure of dispersion or variability, the range is simple to calculate, but it doesn’t say much about the distribution.
Standard Deviation
The standard deviation is the square root of the variance.
Unimodal Distribution
A distribution with only one mode.
Variance
The variance is equal to the standard deviation squared.