What is different about the normality requirement for a confidence interval estimate of sigma and the normality requirement for
a confidence interval estimate of mu? The normality requirement for a confidence interval estimate of sigma is ( less strict/ stricter) than the normality requirement for a confidence interval estimate of mu. Departures from normality have a (greater/ lesser) effect on confidence interval estimates of sigma than on confidence interval estimates of mu. That? is, a confidence interval estimate of sigma is (more/less)
robust against a departure from normality than a confidence interval estimate of mu.
The normality requirement for a confidence interval estimate of sigma is (stricter) than the normality requirement for a confidence interval estimate of mu. Departures from normality have a (greater) effect on confidence interval estimates of sigma than on confidence interval estimates of mu. That is, a confidence interval estimate of sigma is (less)
The lengths of sides of a triangle have to satisfy the triangle inequality, which states that the sum of the two shorter sides must exceed the length of the third side.
Here 9+8=17 (not greater), so these segments do not form a triangle.
