Definitions for

**"CENTRAL TENDENCY"****Related Terms:**Measures of central tendency, Measure of central tendency, Interquartile range, Normal distribution, Outlier, Quantile, Distribution, Central limit theorem, Gaussian, Outliers, Kurtosis, Mode, Gaussian distribution, Spatial autocorrelation, Bell curve, Quartile, Uniform distribution, Statistic, Frequency distribution, Probability density function, Probability distribution, Poisson distribution, Variance, Bimodal distribution, Random variable, Chaid, Chi-square test, Variability, Degrees of freedom, Cross-correlation, Variate, Binomial distribution, Confidence interval, Median, Skewness, Sampling distribution, Descriptive statistics, Discriminant analysis, Least squares, Geometric mean, Deviation, Kriging, Skewed, Variables, Parameter, Uncertainty, Correlation, Confidence limits, Homogeneity, Skewed distribution

Numerical average, e.g., mean, median, and mode; center line on a statistical process control chart.

measures of central tendency refer to mean, median, and mode (see mean, median, and mode below)

A measure that represents the typical behavior of the group as a whole. go to glossary index

Center of distribution of test scores

In statistics, some clustering around a central value in a distribution of data, usually determined by one of the measures of location (mean, mode, or median).

The central tendency of a distribution refers to the place on the scale of values where a particular distribution may be centered.

a measure of where responses to a question clustered. Most questions elicit something approximating a "bell curve", where there are fewer extreme answers on either side and a clustering of responses in the middle; others have skewed distributions where the most frequent responses are at one end or another.

Statistics that summarize averages of a set of scores; includes mean, median, and mode. Researchers use these statistics to describe the most typical scores in a set of data.

the statistic that gives an averagemedian, mean, mode

These measures indicate the middle or center of a distribution.

( Central tendency relates to the typical or average score in a distribution The three measures of central tendency arc the mean median, and mode Any one of these statistics summarizes the typical or average performance of group.

The degree of clustering of the values of a statistical distribution that is usually measured by the arithmetic mean, mode, or median.

General term for the midpoint or typical value of a distribution. FOR EXAMPLE, one measure of central tendency of a group of high school students is the average (mean) age of the students.

a single number used as a typical value for a set of data. The mean, median, and mode are used as measures of central tendency.

Central tendency is a statistical term used to describe the typical, middle, or central scores in a distribution of scores. Measures of central tendency are used as a single point most representative or most characteristic of the distribution of all scores. There are three common measures of central tendency: (1) the mean or arithmetic average of all scores, (2) the median or the exact midpoint of the distribution, and (3) the mode or the most frequently occurring score in the distribution.

Measures that describe the center of a data set.

The value or values around which a series of values varies. Central tendency is often measured with the mean, median, or mode.

The mean (average) or the median ( midpoint) of a range of relevant risk estimates for a particular situation, exposure, or chemical hazard.

A statistical term that describes data clustering around a central value in a distribution, usually determined by the mean, mode, or median.

A measure of the "typical" value in a collection of numbers or a data set. The mean (average) and the median are two different measures of central tendency.

The tendency of scores in a frequency distribution to cluster around a central value. See also measure of central tendency, variability.

The term used to describe what the centerpoint of the data is