Describing Graphed Distributions

This set of flashcards covers key vocabulary and concepts related to describing graphed distributions, including measures of central tendency, skewness, kurtosis, and various types of data displays.

Central Tendency

A statistical measure that identifies a single score as representative of an entire distribution.

Dispersion

The degree to which data points in a data set differ from the mean.

Skewness

The measure of asymmetry in a distribution; can be positively or negatively skewed.

Kurtosis

A measure of the 'peakedness' or flatness of a distribution compared to a normal distribution.

Modalilty

The number of modes or prominent peaks in a distribution.

Outliers

Data points that differ significantly from other observations in a dataset.

Boxplot

A graphical depiction that summarizes data based on a five-number summary.

Stem-and-leaf plot

A graphical method used to display quantitative data while preserving the original data values.

Histogram

A graphical representation that organizes a group of data points into user-specified ranges.

Polygon

A graphical representation of the distribution of a dataset that uses connected points.

Normal Distribution

A probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence.

Bimodal Distribution

A distribution with two different modes, or peaks.

Multimodal Distribution

A distribution with more than two modes.

Rectangular Distribution

A type of distribution where all outcomes are equally likely.