This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: M4056 Hypothesis Testing II. October 29, 2010 I am going to jump ahead to error analysis, because this reinforces the conceptual distinc tions you need to be able to make to understand the structure of the testing situation. A second reason to hurry to methods of evaluating tests is that it seems a bit peculiar to describe how to make tests with no idea about how good they are. The techniques used to evaluate tests provide framing for the discussion in 8.2 of methods of finding tests; I’ll return to topics in 8.2 after treating these important ideas. Type I and Type II Errors. Regardless of whether a hypotheses is true or false, the test may result in acceptance or rejection. Thus, there four possible outcomes when a test is completed: accept a true hypothesis, reject a true hypothesis, accept a false hypothesis, reject a false hypothesis. • Rejecting H when it is true is called a Type I Error. • Accepting H when it is false is called a Type II Error....
View
Full
Document
This note was uploaded on 11/29/2011 for the course MATH 4056 taught by Professor Staff during the Fall '08 term at LSU.
 Fall '08
 Staff
 Statistics

Click to edit the document details