SOAN 2120 Lecture Notes - Lecture 9: Central Limit Theorem, Null Hypothesis, Statistical Hypothesis Testing

• School: University of Guelph
• Department: Sociology and Anthropology
• Course: SOAN 2120
• Professor: David Walters

Document Summary

Thursday october 5th 2017 (cid:862)basic practice of tatistics(cid:863) Learning objectives: what is the null hypothesis and the alternate hypothesis, understand how z-scores are used in hypothesis testing, learn how the central limit theorem is related to hypothesis testing. Hypothesis (significance) tests: test claims about a population, test if the mean of the population is a specified value, test for the difference between two values, tests are based on the sampling distribution, z scores. How it works: state the null hypothesis. In a rather counter-intuitive way, we are testing the null hypothesis: state the alternative hypothesis. Two-sided significance tests: we don"t ha(cid:448)e a theor(cid:455) a(cid:271)out a spe(cid:272)ifi(cid:272) dire(cid:272)tion, if (cid:449)e don"t kno(cid:449) in (cid:449)hi(cid:272)h dire(cid:272)tion to e(cid:454)pe(cid:272)t the differen(cid:272)e, (cid:449)e specify a two-sided test. Midterm: 45 multiple choice questions, 23 questions- lecture, 22 questions- text, at most 6 math related questions.