February 22, 2008

# February 22, 2008 - five conditions are met(1 there is a...

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February 22 Outline I. Probability and the normal curve (cont.) A. Addition rule B. Multiplication rule II. Chapter 9: The binomial distribution A. Outcome of tossing 2 or 3 coins B. The binomial expansion (P + Q) N 1. Letters: kinds of events 2. Exponents: how many of each kind 3. Coefficients: number of ways of getting the outcome III. Using the binomial distribution A. Table B 1. N (trials) 2. Number of P or Q events 3. P or Q B. Examples of problems 1. Using the addition rule

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2. P values > .50 (using the Q event)
Binomial distribution: a probability distribution that results when the following
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Unformatted text preview: five conditions are met: (1) there is a series of N trials; (2) on each trial, there are only two possible outcomes; (3) on each trial, the two possible outcomes are mutually exclusive; (4) there is independence between the outcomes of each trial; and (5) the probability of each possible outcome on any trial stays the same from trial to trial. When these requirements are met, the binomial distribution tells us each possible outcome of the N trials and the probability of getting each of these outcomes....
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## This note was uploaded on 04/17/2008 for the course PSYC 241 taught by Professor Jamesantes during the Spring '08 term at North Dakota.

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February 22, 2008 - five conditions are met(1 there is a...

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