How to Calculate the Measure of Dispersion for a Dataset Using Python
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Condition for Calculating the Measures of Dispersion in a Dataset Using Python
Description:
Dispersion measures the spread or variability of data points around a central value. The common measures of dispersion are:
Range: Difference between the maximum and minimum values.
Variance: Average of the squared differences from the mean.
Standard Deviation: Square root of variance, showing the spread in the same units as the data.
Step-by-Step Process
Range:
Calculate the maximum and minimum values of the dataset, then subtract the minimum value from the maximum value.
Variance:
Calculate the mean of the dataset, subtract the mean from each data point, square the result, and take the average of these squared differences.
Standard Deviation:
Take the square root of the variance.