CMN 3102 Lecture Notes - Lecture 13: Alpha, Type I And Type Ii Errors, Null Hypothesis

• School: University of Ottawa
• Department: Communication
• Course: CMN 3102
• Professor: Philippe Rousseau

Document Summary

Step 4) accept or reject the null hypothesis: make a decision concerning the null hypothesis. 4: power, when measured, exists on a continuum from 0 to 1. Ideally, power will not be lower than 0. 8. The confidence interval : case where a true null hypothesis is accepted, the confidence interval is represented by 1- a. Power : odds of saying there is a difference/relationship when in fact there is one, power is the number of times of 100 where the difference or relationship seen in the population is reflected in the sample. A type i error is represented by (cid:2009) _which is the odds of that occur when researchers use statistics to analyze quantitative date: type i error: 5 finding a difference/relationship when in fact there is none: type ii error, or (cid:2010) _error, occurs when a researcher accepts a null that should have been rejected.