Still, it cannot be negative because it is mathematically impossible to have a negative value resulting from a square.įor example, if you have two sets of 3 numbers (1,2,3) and (1,2,10). The variance can be zero or a positive number. The sample variance measures the spread of a numerical characteristic of your sample.Ī large variance indicates that your sample numbers are far from the mean and far from each other.Ī small variance, on the other hand, indicates the opposite.Ī zero variance indicates that all values within your sample are identical. The sample variance is the average of the squared differences from the mean found in a sample. In this topic, we will discuss the sample variance from the following aspects: “The sample variance is the average of the squared differences from the mean found in a sample.”
The definition of the sample variance is: The Sample Variance – Explanation & Examples
