PSYC 2002 Lecture Notes - Lecture 8: Null Hypothesis, Type I And Type Ii Errors, Statistical Parameter
19 Feb 2014
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Your knowledge of all of that stuff will let you do some real science! Here are the steps that you will follow: state your hypotheses, and define your population parameters, define your critical region, run your test, compare your sample statistic to your population parameter, state your conclusion. State your hypotheses, and define your population parameters. : there will be no difference between the two groups. The limitations of inferential statistics requires that we do things a little bit ass-backwards when it comes to hypothesis testing. We never directly test the alternative hypothesis . You"ll have to take a symbolic logic course for the answer. Suffice it to say that, logically, it is a lot simpler to falsify a universal assumption than to prove a universal assumption. If we believe that untreated people in the population get better in, on average, 7 days then we test the hypothesis: We also state the alternative hypothesis, even though we don"t test it:
