'Factorials' presentation slideshows

Discrete Probability Distributions

Discrete Probability Distributions. Random Variables. Expected Value (mean, average). ? = E(X) = ? value(x) x probability(x). Expected value = 0.5 x (-1) + 0.5 x (+1) = 0. Example: Lottery of 1,000 tickets, with the following payout structure, has an E(x) = $1.00.

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Counting Principles

Counting Principles. The Fundamental Counting Principle : If one event can occur m ways and another can occur n ways, then the number of ways the events can occur in sequence is m*n. ******************************************** Example:

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4-2 Factorials and Permutations

4-2 Factorials and Permutations. Imagine 3 animals running a race:. How many different finish orders could there be?. FINISH. D. H. S. H. D. H. D. S. S. 2 nd. 3 rd. Order. 1 st. S. DHS. D. H. DSH. S. HDS. H. HSD. D. D. SHD. S. H. SDH. THEREFORE:.

337 views • 16 slides

Teaching Six-Sigma Concepts in a University Setting

Teaching Six-Sigma Concepts in a University Setting. Doug Montgomery & Richard Burdick, Arizona State University Don Holcomb, Honeywell Engines Systems & Services Cheryl Jennings, Harry Shah, Dave Sebert, Motorola SPS

315 views • 12 slides

Binomial Distribution

Binomial Distribution. Probability of Binary Events. Probability of success = p p(success) = p Probability of failure = q p(failure) = q p+q = 1 q = 1-p. Permutations & Combinations 1. Suppose we flip a coin 2 times H H H T T H T T

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273 views • 11 slides

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Ordinal Ballots

155 views • 5 slides