Lecture 6S

# Lecture 6S - Statistics 371-001 Spring 2009 Lecture 6 05...

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Statistics 371-001, Spring 2009 Lecture # 6 05 Feb 09 3.1 PROBABILITY- Basis of statistical inference. Probability Random Sampling Statistical Inference 3.2 RANDOM SAMPLING – Representative, impartial and unbiased process of selecting a sample from a population. Not haphazard; requires care and planning. 1. Every member of the population has an equal chance of being selected for the sample. 2. Each selection is independent. Gamblers fallacy. Chance error due to sampling – differences between a randomly chosen sample and the population on the variable of interest. Sampling bias – systematic tendency for some values of the variable of interest to be selected more readily than others. 3.3 PROBABILITY Probability – the likelihood of an event. Notation: Pr{ E } Range is 0 to 1 Pr{E} = Number of outcomes classified as E Total number of possible outcomes Ex. Pr {Ace} = 4/52 = 1/ 12 3.4 PROBABILITY TREES Drawing a picture is always good.

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Lecturer 6 page 2 Page 87 of text. 3.5 Need to know the RULES OF PROBABILITY
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Lecture 6S - Statistics 371-001 Spring 2009 Lecture 6 05...

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