lecture5note - Psych 100A Winter 2010 Lecture 5: Ideas of...

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1 Lecture 5: Ideas of Probability and distribution Psych 100A Winter 2010 1. Three definitions 2. Basic concepts 3. Adding probabilities 4. Observed (empirical) versus Theoretical (population) distributions 5. Binomial distribution 6. Normal distribution 1. Probabilities – What are the chances? Mathematicians have developed several careful and rigorous theories of probability. Classical probability Relative frequency concept of probability Subjective/personal probability a. Classical probability n Definition. If a random experiment can result in n possible mutually exclusive and equally likely outcomes and if n A of these outcomes have an attribute A, then the probability (Pr) of A is written as n A A ) Pr( Concept. This definition is most often associated with games of chance. Attribute A is a collection of outcomes and is called an event. Example of classical probability: Suppose a card is drawn at random from an ordinary deck of playing cards. The probability of drawing a diamond (A) is % 25 52 13 ) Pr( n n A A The probability of drawing a number between 5 and 10, inclusive (B) is % 46 52 24 ) Pr( n B b. Relative frequencies A Definition. If an experiment is perfomred n times and if n A of these result in the outcome A, then the probability of A occurring is defined as the limiting ratio: lim ) Pr( Concept. This is an empirical approach to probability that says approximately what percent of the time an event will occur when the basic process is repeated over and over again, independently and under the same conditions.
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This note was uploaded on 03/15/2010 for the course PSYCHOLOGY 100B taught by Professor Firstenberg,i. during the Winter '10 term at UCLA.

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lecture5note - Psych 100A Winter 2010 Lecture 5: Ideas of...

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