February 15, 2008

February 15, 2008 - February 15 Outline I A word about...

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February 15 Outline I. A word about multiple regression II. Introduction to inferential statistics A. Hypothesis testing B. Parameter estimation C. Importance of random sampling and probability III. Random sampling A. Why should the sample be random? B. Techniques for random sampling C. With and without replacement IV. Probability A. a priori p(A) = events possible of number Total A as le classifiab events of Number - - - - - - - - - B. a posteriori
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p(A) = s occurrence of number Total occurred has A times of Number - - - - - - - - V. Using a priori probability A. Addition rule with mutually exclusive events B. Multiplication rule with independent events (omit pp. 181- 185—dependent events) Multiple regression: prediction involving more than one predictor variable Inferential statistics: branch of statistics involving techniques to use sample data to infer to populations Hypothesis testing: researcher draws inferences regarding a hypothesis about a population
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Parameter estimation: researcher draws inferences about the size of a population
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February 15, 2008 - February 15 Outline I A word about...

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