Distributions GeometricPoisson Probability Distribution Review.

Slides:



Advertisements
Similar presentations
Geometric Distribution & Poisson Distribution Week # 8.
Advertisements

Discrete Probability Distributions Martina Litschmannová K210.
The Binomial Probability Distribution and Related Topics
QBM117 Business Statistics
More Discrete Probability Distributions
Class notes for ISE 201 San Jose State University
Discrete Probability Distributions
Discrete Probability Distributions
Probability Models Binomial, Geometric, and Poisson Probability Models.
Chapter 17 Probability Models Binomial Probability Models Poisson Probability Models.
The Poisson Probability Distribution The Poisson probability distribution provides a good model for the probability distribution of the number of “rare.
T HE G EOMETRIC AND P OISSON D ISTRIBUTIONS. G EOMETRIC D ISTRIBUTION – A GEOMETRIC DISTRIBUTION SHOWS THE NUMBER OF TRIALS NEEDED UNTIL A SUCCESS IS.
This is a discrete distribution. Poisson is French for fish… It was named due to one of its uses. For example, if a fish tank had 260L of water and 13.
Chapter Discrete Probability Distributions 1 of 63 4 © 2012 Pearson Education, Inc. All rights reserved.
Poisson Distribution The Poisson Distribution is used for Discrete events (those you can count) In a continuous but finite interval of time and space The.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Discrete Random Variables Chapter 4.
4.3 More Discrete Probability Distributions Statistics Mrs. Spitz Fall 2008.
Chapter 17 Probability Models math2200. I don’t care about my [free throw shooting] percentages. I keep telling everyone that I make them when they count.
Poisson Random Variable Provides model for data that represent the number of occurrences of a specified event in a given unit of time X represents the.
381 Discrete Probability Distributions (The Poisson and Exponential Distributions) QSCI 381 – Lecture 15 (Larson and Farber, Sect 4.3)
Geometric Distribution
AP Statistics Exam Review
Geometric Distribution. Similar to Binomial Similar to Binomial Success/FailureSuccess/Failure Probabilities do NOT changeProbabilities do NOT change.
Introduction to Probability and Statistics Thirteenth Edition Chapter 5 Several Useful Discrete Distributions.
P. STATISTICS LESSON 8.2 ( DAY 1 )
Your mail-order company advertises that it ships 90% of its orders within three working days. You select an SRS of 100 of the 5000 orders received in.
Discrete Probability Distributions. Random Variable Random variable is a variable whose value is subject to variations due to chance. A random variable.
Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 5 Discrete Random Variables.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 5 Discrete Random Variables.
Probability Distributions u Discrete Probability Distribution –Discrete vs. continuous random variables »discrete - only a countable number of values »continuous.
* Roll a pair of dice until you get doubles * In basketball, attempt a three-point shot until you make one * Keep placing $1 bets on the number 15 in.
Discrete Distribution Functions Jake Blanchard Spring 2010 Uncertainty Analysis for Engineers1.
Definition A random variable is a variable whose value is determined by the outcome of a random experiment/chance situation.
Elementary Statistics Discrete Probability Distributions.
4.3 More Discrete Probability Distributions NOTES Coach Bridges.
Random Variables Example:
Onur DOĞAN.  A small life insurance company has determined that on the average it receives 3 death claims per day. Find the probability that the company.
4.3 Discrete Probability Distributions Binomial Distribution Success or Failure Probability of EXACTLY x successes in n trials P(x) = nCx(p)˄x(q)˄(n-x)
Chapter 17 Probability Models.
Discrete Probability Distributions Chapter 4. § 4.3 More Discrete Probability Distributions.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 5 Discrete Random Variables.
Discrete Probability Distributions Chapter 4. § 4.3 More Discrete Probability Distributions.
MATH 2311 Section 3.3.
Section 6.3 Geometric Random Variables. Binomial and Geometric Random Variables Geometric Settings In a binomial setting, the number of trials n is fixed.
Introduction We have been looking at Binomial Distributions: A family has 3 children. What is the probability they have 2 boys? A family has 3 children.
Chap 5-1 Chapter 5 Discrete Random Variables and Probability Distributions Statistics for Business and Economics 6 th Edition.
Discrete Probability Distributions Chapter 4. § 4.3 More Discrete Probability Distributions.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Understandable Statistics Seventh Edition By Brase and Brase Prepared by: Lynn Smith.
AP Statistics Chapter 8 Section 2. If you want to know the number of successes in a fixed number of trials, then we have a binomial setting. If you want.
SWBAT: -Calculate probabilities using the geometric distribution -Calculate probabilities using the Poisson distribution Agenda: -Review homework -Notes:
A federal report finds that lie detector tests given to truthful persons have probability about 0.2 of suggesting that the person is deceptive. A company.
Discrete Probability Distributions
Chapter Five The Binomial Probability Distribution and Related Topics
Negative Binomial Experiment
Math 4030 – 4a More Discrete Distributions
The Poisson Probability Distribution
Business Statistics Topic 4
Discrete Probability Distributions
Discrete Random Variables
Discrete Probability Distributions
4 Chapter Discrete Probability Distributions
Some Discrete Probability Distributions
III. More Discrete Probability Distributions
Chapter 4 Discrete Probability Distributions.
Discrete Probability Distributions
Elementary Statistics
Geometric Probability Distributions
STARTER P = 2A + 3B E(P) = 2 x x 25 = 135
The Geometric Distribution
District Random Variables and Probability Distribution
Presentation transcript:

Distributions GeometricPoisson

Probability Distribution Review

Geometric A discrete probability distribution of a random variable x that satisfies the following conditions. A discrete probability distribution of a random variable x that satisfies the following conditions. 1.A trial is repeated until a success occurs. 2.The repeated trials are independent of each other. 3.The probability of a success (p) is constant for each trial.

Typical Problem Rolling a 5. Rolling a 5. –Find the probability that the first success will occur on trial number 4. Failure (5/6) Failure (5/6) Success (1/6) Success (1/6)

Geometric Formula x = the number of attempts for a success to occur p = the probability of a success q = the probability of a failure

Another Example LeBron James is a 78% free throw shooter. What’s the probability that if he shoots, his first miss will occur on his 6th shot? LeBron James is a 78% free throw shooter. What’s the probability that if he shoots, his first miss will occur on his 6th shot?

Poisson A discrete probability distribution of a random variable x that satisfies the following conditions. A discrete probability distribution of a random variable x that satisfies the following conditions. 1.The experiment consists of counting the number of times, x, an event occurs in a given interval. The interval can be an interval of time, area, or volume. 2.The probability of the event occurring is constant for each interval. 3.The number of occurrences in one interval is independent of the number of occurrences in other intervals.

Poisson Formula = The average number of occurrences in one interval = The average number of occurrences in one interval x = The number of expected occurrences in an interval

Typical Problem The average number of unintelligent questions in a block by Geometry students is 6. What’s the probability that they ask 5 unintelligent questions next block? The average number of unintelligent questions in a block by Geometry students is 6. What’s the probability that they ask 5 unintelligent questions next block?

Another Example A man on the beach is looking for buried treasure with a metal detector. On average, he finds 4 metal objects per acre. What’s the probability he finds 5 metal objects in the next acre? A man on the beach is looking for buried treasure with a metal detector. On average, he finds 4 metal objects per acre. What’s the probability he finds 5 metal objects in the next acre?