HPED 2030 Lecture Notes - Lecture 8: Sample Size Determination, Test Statistic, Null Hypothesis

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

Document Summary

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. Ho: if words such as the same, change, different/difference and so on appear in the claim, use for ha and = for ho. 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. A type ii error is a decision to fail to reject the null hypothesis when, in fact, the null hypothesis is false. Step 3: find the critical value for the test ( tcv ). This value represents the cutoff point for the test statistic.