EEB225H1 Lecture Notes - Lecture 5: Null Hypothesis, Test Statistic, Statistical Parameter
25 Jan 2017
School
Department
Course
Professor
Document Summary
Asks how unusual it is to get data that differ from the null hypothesis. Could the small difference be due to: chance, bias, sampling error, etc. Hypothesis are about populations but are tested with data from samples. If the data would be quite unlikely under h0, we reject the h0: usually assumes that sampling is random. 4 steps: state hypothesis, estimate test statistic, evaluate test statistic by determining a p value, state conclusion. Null: a specific statement about a population parameter made for the purposes of argument: parameter is often 0 as in no effect, no difference, the simplest statement, objective: disprove null hypothesis; easier to gather data that contradicts. Alternate: represents all other possible parameters values except those in the null hypothesis: statement of greatest interest. A number calculated to represent the match between a set of data and the null hypothesis.
