If confidence level is at 90%, then the error rate is _______________?

Answer 1

In statistics, a confidence interval (CI) for a population parameter is an interval between two numbers with an associated probability p which is generated from a random sample of an underlying population, such that if the sampling was repeated numerous times and the confidence interval recalculated from each sample according to the same method, a proportion p of the confidence intervals would contain the population parameter in question. Confidence intervals are the most prevalent form of interval estimation.

From the point of view of confidence intervals, getting it wrong is simply a matter of the population value being outside the confidence interval. I call it a Type O error. You can think of the "O" as standing either for "outside (the confidence interval)" or for "zero" (as opposed to errors of Type I and II, which it supersedes). For 95% confidence limits the Type O error rate is 5%, by definition.

Answer 2

0 prcent

Answer 3

alpha = 10%

Answer 4

ten