NEUR 2002 Lecture Notes - Lecture 12: Dfa Records, Ope, Dfs Furniture
Document Summary
Independent-measures design introduction there are 2 main strategies used to form two groups. Data from two completely different, independent participant groups (independent measure or between subject) Data from the same or related participant groups(s) (within-subject or repeated-measures design) For hyp testing, it is useful if the null generates a specific numerical prediction that can be tested. Ho m mz ope ho g 92 0. 4 0. 05 we use a two tailed test note remember degree of freedom forsample t test. Sm test difference b w observed data dataexpected error for 2 sample independent measuredesign t test t m mz m lhyp. pop. parameters. cm csamplestatsl. Mz estimated error amount of error bw observed data expe. Semi md you take out mi mi b c you assume ho is true ho mi mz 0 random chance based on null hyp mean is a you are findingthe distribution of the difference b w all your.