In our example, we considered a nonparametric method to smooth sample variances.

Overall mean can be given by , sample variance .

This shows that the sample mean and sample variance are independent.

This formula is also sometimes used in connection with the sample variance.

Either estimator may be simply referred to as the "sample variance" when the version can be determined by context.

It is sometimes used, incorrectly, to mean sample variance - the difference between different finite samples of the same parent population.

Similarly, calculating the sample variance will result in values that grow larger as more samples are taken.

The sample mean and sample variance are given by:

In fact, there generally will be no variables at all corresponding to concepts such as "sample mean" or "sample variance".

Important examples include the sample variance and sample standard deviation.