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

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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.

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