STOR 155 Lecture Notes - Lecture 27: Type I And Type Ii Errors, Viral Load

• School: UNC
• Department: Statistics And Operations Research
• Course: STOR 155
• Professor: All

Document Summary

Drug development: x = viral load, h0: e{x} = 900, ha: e{x} 900. If the actual e{x} is 1000, you have a lot of power to reject h0 correctly. If the actual e{x} is 901, you have little power to reject h0 correctly your beta will be high. How to go about doing problems: = p{sample mean is in acceptance region when h0 is actually false, calculate acceptance region, use supposed e{x} to do excel formulas and determine power and. Stor 155: introduction to statistics lecture 27: probability of type ii error (4/16/15) Type ii error x: decision: accept, power = p{reject h0 when h0 is false} probability of type ii error. Give it some thought: why is your so high? (0. 77) 930 is not that far away from 900. If you the actual e{x} was 970, would be lower and power would be higher. If the actual e{x} was 901, would be higher and power would be lower.