ANT333Y1 Lecture Notes - Lecture 11: Internal Validity, Test Statistic, Operational Definition
Document Summary
Ant333 lecture #11 basics of experimental design & data analysis. We"ll cover 3 topics: basic research design, basic statistical descriptions of data, basics of correlations. It is best when there is existing data to create a hypothesis. If you can"t state your question(s), then you"re in trouble. Really the heart" of any research project. For example, your question could be, where does dr. lehman get his corny jokes from? . H2: jokes are result of his sick, twisted mind. Statistical hypothesis that one variable has no association with another variable or set of variables. However, when you get your results, possible that relationship in data produced by random chance. Need to compare the results against opposite situation: corny jokes not from internet. This is your null hypothesis the assertion that things you were testing (i. e. corny jokes and source) not related and results product of random chance events. Key point: science only tests null hypotheses!
