SOCI 3030 Lecture Notes - Lecture 8: Statistical Hypothesis Testing, Test Statistic, Mortuary Science

• School: York University
• Department: Sociology
• Course: SOCI 3030
• Professor: Derek Hrynyshyn

Document Summary

November 9, 2016 week 9 one sample tests chapter 7. Hypothesis tests: we are looking for evidence that the opposite claim is true, but all we can have is a claim that is false. We do a null hypothesis where the variable is = to 0. With any of these tests, (cid:449)e(cid:859)(cid:396)e looki(cid:374)g fo(cid:396) patte(cid:396)(cid:374)s i(cid:374) the (cid:374)u(cid:373)(cid:271)e(cid:396)s: the (cid:374)ull h(cid:455)pothesis tests sa(cid:455)s that the(cid:396)e a(cid:396)e (cid:374)o patte(cid:396)(cid:374)s! We(cid:859)(cid:396)e testi(cid:374)g the h(cid:455)pothesis that the(cid:396)e is (cid:374)o patte(cid:396)(cid:374) i(cid:374) populatio(cid:374) data, testi(cid:374)g it (cid:271)ased o(cid:374) the sa(cid:373)ple we analyze. These samples produce a z-score that we compare to the a (alpha) number (usually around. On the basis of that alpha, you calculate a critical value. Based on our assumptions, if the z-score is more extreme than the critical value, we reject the null hypothesis on which the observed z-value is calculated. The alpha number is usually 5%, and can be found on the normal dist.