SOC202H1 Lecture Notes - Lecture 7: Null Hypothesis, Analysis Of Variance, Standard Deviation
Document Summary
Format: 30 multiple choice (60%), 5 open ended questions (40%) Time consuming, lots of null hypotheses are created, cannot get a global comparison. If alpha was 0. 05 for each of these 10 hypothesis tests, we would have a 40% chance of making a type 1 error (false positive)- considering a difference statistically significant when it simply arose by chance. You can think of anova as extension of t-test for more than two groups. Anova asks (cid:862)are the differences between the samples large enough to reject the null hypothesis and justify the conclusion that the populations represented by the samples are different? (cid:863) Do we have evidence that there is a significant difference between the groups in which the null hypothesis can be rejected. The h0 is that the population means are the same: H0: 1= 2= 3 = = k.
