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Measures of spread (also called measures of dispersion) tell you something about how wide the set of data is. There are several basic measures of spread used in statistics. The most common are: The range (including the interquartile range and the interdecile range), The standard deviation, The variance, Quartiles. 1.
The measures of spread tell us how extreme the values in the dataset are. There are four measures of spread, and we’ll talk about each one of them. Range. The simplest measure of spread in data is the range. It is the difference between the maximum value and the minimum value within the data set.
In statistics, dispersion (also called variability, scatter, or spread) is the extent to which a distribution is stretched or squeezed. [1] Common examples of measures of statistical dispersion are the variance , standard deviation , and interquartile range .
Definition. Measures of spread describe how similar or varied the set of observed values are for a particular variable (data item). Measures of spread include the range, quartiles and the interquartile range, variance and standard deviation.
Learn how to calculate and interpret the standard deviation, a measure of variation or spread of data. The standard deviation is the square root of the variance, which is the average of the squared deviations from the mean.
A measure of spread, sometimes also called a measure of dispersion, is used to describe the variability in a sample or population. It is usually used in conjunction with a measure of central tendency, such as the mean or median, to provide an overall description of a set of data.
21 Ιαν 2021 · A better way to describe how the data is spread out is needed. Instead of looking at the distance the highest value is from the lowest how about looking at the distance each value is from the mean. This distance is called the deviation. Example \ (\PageIndex {2}\): Finding the Deviations.
