SOAN 2120 Lecture Notes - Lecture 7: Sampling Distribution, Statistical Parameter, Statistical Theory

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

Document Summary

Professor walter"s office is on the sixth floor (office is 614). Can meet outside of office hours if email. Central limit theorem is the most difficult to understand!! Calculating p-values: statistical tables how do we know that a z-score of plus or minus 2 translates to a p- value, http://bcs. whfreeman. com/bps5e/ Click on statistical applets normal density curve: two cut-offs are 99% or 95%. We can use either to prove how correct we are; however we can only use one value not both. Either we are 99% correct or 95% correct. Statistical interference if we infer something it means we are drawing a conclusion about something. Statistical interference is a tool for drawing conclusions from data that are random samples: probability: allows us to take chance variation into account. If we do not use random samples, however, our conclusions are open to challenge. Collecting good data is needed; there is no substitute.