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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: Quartiles. The range is the distance between the lowest and highest values in a data set.
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.
Recognize, describe, and calculate the measures of the spread of data: variance, standard deviation, and range.
Discover the importance of the measure of spread in statistics and data analysis. Explore key measures like range, interquartile range, standard deviation, and variance for detecting outliers and comparing datasets.
Definition. Spread refers to the measure of how much the values in a dataset differ from one another. It gives insight into the variability or dispersion of the data points, allowing us to understand whether they are closely packed together or widely dispersed.
21 lis 2023 · Understand what the spread of data is and how to find the spread of data. Discover the various measures of spread and practice calculating spread in statistics. Updated: 11/21/2023
The term “spread” in statistics refers to the extent to which a distribution is stretched or squeezed. It provides a quantitative measure of the variability or dispersion of a set of data points. Common measures of spread include the range, variance, standard deviation, and interquartile range (IQR).
