One-tailed and Two-tailed tests of variance 

In statistical hypothesis testing, one-tailed and two-tailed tests are used to test whether the observed data deviates significantly from the expected values. In the context of variance testing, a one-tailed test is used to test whether the variance of a population is significantly greater or significantly smaller than a hypothesized value, while a two-tailed test is used to test whether the variance is significantly different from the hypothesized value in either direction.

A one-tailed test of variance is used when the researcher is interested in testing a specific direction of deviation from the hypothesized value. For example, if the null hypothesis is that the variance of a population is equal to a specific value, a one-tailed test can be used to test whether the variance _____ ______ ________ _________ _______ ______ _______.
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