SOAN 2120 Lecture Notes - Lecture 9: Central Limit Theorem, Null Hypothesis, Sampling Distribution

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

Document Summary

Test claims about a population: test if the mean of the population is a specified value, test for the difference between 2 values. Tests are based on the sampling distribution. How it works: state the null hypothesis (nothing is different, = the value, state the alternative hypothesis (research hypothesis) specifies that our value is different than (something is different, does not equal the value) We cannot test the alt hypothesis; central limit theorem only gives us. 2 sided significance tests: the power to test the null: (cid:449)e don"t ha(cid:448)e a spe(cid:272)ifi(cid:272) theor(cid:455) a(cid:271)out dire(cid:272)tion if (cid:449)e don"t kno(cid:449) (cid:449)hat side to e(cid:454)pe(cid:272)t the differen(cid:272)e, objective, unbiased. You need 4 pieces of info from question: = population mean, x bar= sample mean, = sd of population, n= sample size. Plug these into the formula for z scores. 6 are math related lecture qs will be separate from text qs. Qualitative: field research and in depth interviews.