Chebyshev's theorem is a theorem that allows us to approximately know how much percentage of a data set lies within a certain number of standard deviations of the mean of the data set.

The mathematical equation to compute Chebyshev's theorem is shown below.

Chebyshev's theorem states for any k > 1, at least 1-1/k^{2} of the data lies within k standard deviations of the mean.

As stated, the value of k must be greater than 1.

Using this formula and plugging in the value 2, we get a resultant value of 1-1/2^{2}, which is equal to 75%.
This means that at least 75% of the data for a set of numbers lies within 2 standard deviations of the mean. The number could be greater. It could be all, 100%, but it's guaranteed to be
at least 75%. And this is what Chebyshev's theorem computes.

If we plug in 3 for k, then the resultant value is 88.89%. This means that at least 88.89% of a data set lies within 3 standard deviations of the mean.

If we plug in 4 for k, then the resultant value is 93.75%. This means that at least 93.75% of a data set lies within 3 standard deviations of the mean.

Chebyshev's theorem is a great tool to find out how approximately how much percentage of a population lies within a certain amount of standard deviations above or below a mean. It tells us at least how much percentage of the data set must fall within that number of standard deviations.

To use this calculator, a user simply enters in a k value. This k value represents the number of standard deviations from the mean.

The resultant value calculated will represent the minimum percentage of the data set that falls within k standard deviations of the mean.

Chebyshev's theorem is a great statistical measure because it can be used in electronics math for various statistical purposes.

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