HPED 2030 Lecture Notes - Lecture 9: Null Hypothesis, Test Statistic, Type I And Type Ii Errors

• School: Mount Royal University
• Department: Health and Physical Education
• Course: HPED 2030
• Professor: Sommer Christie

Document Summary

5 step statistical hypothesis testing chi squared. In this case you are comparing the observed results from your sample to the expected which. The alternative hypothesis represents what the researcher is trying to prove. The null hypothesis represents the negation of what the researcher is trying to prove. Identify ha first: the alternative hypothesis is always that the observed is not the same as the expected. Ha : o e: the null hypothesis is always that there is no difference between the observed and expected results. Step 2: state sample size, degrees of freedom and the significance level ( ) for the test. Sample size: this represents the amount of evidence that is being used to make a decision. The significance level is the probability of making a type i error. A type i error is a decision in favor of the alternative hypothesis when, in fact, the null hypothesis is true.