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How to find the variance and standard deviation from a set of data

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How to find the variance and standard deviation from a set of data

716,150 views October 25, 2016 8:01

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ChannelBrian McLogan

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👉 Learn how to find the variance and standard deviation of a set of data. The variance of a set of data is a measure of spread/variation which measures how far a set of numbers is spread out from their average value.
The standard deviation of a set of data is a measure of spread/variation which measures how the set of numbers is spread out from each other. The standard deviation is given by the square root of the variance.

To find the variance, we first calculate the mean of the set of data. Next, we subtract the mean from each number in the data set and square the results. Then, we take the average of the squared differences.


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About this tutorial

Brian McLogan published this 8:01 video tutorial on October 25, 2016. It has been watched 716,150 times on YouTube.

Category
Education
Duration
8:01
Published
October 25, 2016
Views
716,150
Likes
7,942

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Further reading

  • How to Find Variance from Standard Deviation with Examples byjus.com

    If the data points are away from the mean, there is a higher deviation within the data set. Hence, the more spread out the data, the greater the standard deviation. Mean is the average of a given set of observations.

  • Variance Calculator calculatorsoup.com

    High variance indicates that data values have greater variability and are more widely dispersed from the mean. The variance calculator finds variance, standard deviation, sample size n, mean and sum of squares. You can…

  • How to find Mean, variance, and standard deviation — Krista ... kristakingmath.com

    Formulas for standard deviation. Standard deviation is a measure of how much the data in a set varies from the mean. The larger the value of standard deviation, the more the data in the set varies from the mean. The sma…

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