Under hypothesis testingt there is a trade off in practice between type i error type ii error with type i being present but type ii being unknown but estimable from the alternative?
In statistics: type 1 error is when you reject the null hypothesis but it is actually true. Type 2 is when you fail to reject the null hypothesis but it is actually false. Statistical DecisionTrue...
supernovae are classified by the lines in their spectra (which indicate which elements are present). type I supernovae have no hydrogen lines, having been caused by the explosion of a star with no...
(1) Age: The majority of type 1 diabetes incidence under 40 years old, and 20 years of age the vast majority of young people and children with type 1 diabetes, only a very few exceptions; majority of...