THE POISSON DISTRIBUTION Section 6 3 Copyright 2016
THE POISSON DISTRIBUTION Section 6. 3 Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Objectives 1. 2. 3. Compute probabilities for Poisson random variables Compute the mean, variance, and standard deviation of a Poisson random variable Use the Poisson distribution to approximate binomial probabilities Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
OBJECTIVE 1 Compute probabilities for Poisson random variables (Hand Computation) Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Example – Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Probabilities for the Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Example – Poisson Probabilities Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Application of Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
OBJECTIVE 1 Compute probabilities for Poisson random variables (TI-83 PLUS) Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Example – Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Probabilities for the Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Poisson Probabilities on the TI-84 PLUS Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Example – Poisson Probabilities Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Application of Poisson Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
OBJECTIVE 2 Compute the mean, variance, and standard deviation of a Poisson random variable Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Poisson – Mean, Variance, & Standard Deviation Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
OBJECTIVE 3 Use the Poisson distribution to approximate binomial probabilities Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Approximating the Binomial Distribution Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
Example – Poisson Approximation Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
You Should Know… • • How to tell if a random variable has a Poisson Distribution How to compute probabilities for Poisson random variables How to compute the mean, variance, and standard deviation of a Poisson random variable How to use the Poisson distribution to approximate binomial probabilities Copyright © 2016 The Mc. Graw-Hill Companies, Inc. Permission required for reproduction or display.
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