STATS 10 Lecture Notes - Lecture 9: Null Hypothesis, Standard Score, Alternative Hypothesis
Document Summary
Say to yourself: i will assume the null hypothesis (h0) is true, then i expect the world to look a particular way. The evidence is very different from our expectations. Or the evidence is slightly different from our expectations. We have no reason to doubt our assumptions, it does not prove our assumptions to be right, but we do not doubt them not significantly different. I believe that in the population of ucla students 40% live in an apartment. Null hypothesis: 40% of ucla students live in apartments. Alternative hypothesis: something other than 40% live in apartments. If h0 were true, when i take a random sample of students, we would expect our p^ to be close to . 4. Let"s say you sample 150 random students 68 live in apartments 68/150=. 453. The sd of the sampling distribution po=use the p in the h0. Z score for the ^p we observed z=(oberved-expected/se) = . 4533-. 4/. 04= 1. 33.
