PYB210 Lecture Notes - Lecture 7: Type I And Type Ii Errors, F-Distribution, Null Hypothesis
Document Summary
In simplified terms, the purpose of conducting an anova is to determine whether we should reject or retain the null hypothesis (h0). Sampling error occurs when samples of the population may have different means even though the null hypothesis is true. A monte carlo study helps us obtain a safe" value for which we can determine whether the iv has actually had an effect on the dv. Monte carlo studies work by drawing thousands of samples from a population and performing an f test on each one. These f scores are then presented in an f distribution table. F tells us the likelihood that something has occurred by chance. Remember that if the null hypothesis is true then f should always equal 1. (bg=wg=se). The f distribution table will tell us how big f has to be before we can say that something has occurred by chance.