Decision Errors and Power
{"Image DocumentName": "Decision Errors and Power", "Image ImageDescription": "When we perform a statistical test we hope that our decision will be correct, but sometimes it will be wrong. There are two types of incorrect decisions. To help distinguish these two types of error, we give them specific names. The error made by rejecting the null hypothesis H0 (accepting Ha) when in fact H0 is true is called a type I error. The probability of making a type I error is denoted by \uf061. The error made by accepting the null hypothesis H0 (rejecting Ha) when in fact H0 is false is called a type II error. The probability of making a type II error is denoted by \uf062. The probability that a fixed level \uf061 significant test will reject H0 when a particular alternative value of the parameter is true is called the power of the test to detect that alternative. week 10.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}