 In this section we discuss hypothesis tests and confidence intervals that apply when making inference on the variance of a normally distributed population,
.
 When calculating confidence intervals and testing hypothesis for the variance of a population, the
distribution is used.
 The null hypothesis in this section is that the variance of the population equals some specific value that we denote
.
 The null hypothesis is written
.
 It depends on the direction of the hypothesis test what conclusion are drawn if the null hypothesis is rejected.
 If the hypothesis test is twosided we conclude that the variance of the population,
, differs from
but if it is onesided we can only conclude that the variance is greater or less than
depending on the case.
