In statistics, variance measures variability from the average or mean. It is calculated by taking the differences between each number in the data set and the mean, then squaring the differences to make them positive, and finally dividing the sum of the squares by the number of values in the data set.
How do you find the variance in statistics?
How to Calculate Variance
- Find the mean of the data set. Add all data values and divide by the sample size n. ...
- Find the squared difference from the mean for each data value. Subtract the mean from each data value and square the result. ...
- Find the sum of all the squared differences. ...
- Calculate the variance.
What is variance in simple terms?
In probability theory and statistics, the variance is a way to measure how far a set of numbers is spread out. Variance describes how much a random variable differs from its expected value. The variance is defined as the average of the squares of the differences between the individual (observed) and the expected value.
