* 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.

Slides:



Advertisements
Similar presentations
If X has the binomial distribution with n trials and probability p of success on each trial, then possible values of X are 0, 1, 2…n. If k is any one of.
Advertisements

Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.
C HAPTER 8 Section 8.2 – The Geometric Distribution.
Discrete Probability Distributions Martina Litschmannová K210.
EXAMPLE 1 Construct a probability distribution Let X be a random variable that represents the sum when two six-sided dice are rolled. Make a table and.
+ Chapter 6: Random Variables Section 6.3 Binomial and Geometric Random Variables.
Today Today: Finish Chapter 4, Start Chapter 5 Reading: –Chapter 5 (not 5.12) –Important Sections From Chapter (excluding the negative hypergeometric.
Independent Events. These situations are dealing with Compound events involving two or more separate events. These situations are dealing with Compound.
Binomial & Geometric Random Variables
Probability of 2 Independent Events Example – Two Independent Events.
Binomial & Geometric Random Variables §6-3. Goals: Binomial settings and binomial random variables Binomial probabilities Mean and standard deviation.
Probability Models Chapter 17.
Chapter 5.2 Expectation.
1 Chapter 8: The Binomial and Geometric Distributions 8.1Binomial Distributions 8.2Geometric Distributions.
BINOMIAL DISTRIBUTION Success & Failures. Learning Goals I can use terminology such as probability distribution, random variable, relative frequency distribution,
Chapter 8 Binomial and Geometric Distributions
Binomial and Geometric Distributions Notes on your own paper.
AP Statistics Exam Review
Warm-up Grab a die and roll it 10 times and record how many times you roll a 5. Repeat this 7 times and record results. This time roll the die until you.
P. STATISTICS LESSON 8.2 ( DAY 1 )
COMP 170 L2 L17: Random Variables and Expectation Page 1.
6.2 Homework Questions.
4.3 Binomial Distributions. Red Tiles and Green Tiles in a Row You have 4 red tiles and 3 green tiles. You need to select 4 tiles. Repeated use of a tiles.
Geometric Distributions Consider a game of monopoly.
Meet the ladies!. But…are they all ladies? P(“female” chick is actually female) = 0.9 We selected 4 chicks (from over 500 in the store)
The amount of Revenue a company brings in has a normal dist. μ R = $86,200 and σ R = $600. Its Expenses has a μ E = $12,020 and σ E = $800. The company.
Methodology Solving problems with known distributions 1.
4.2 Binomial Distributions
Ch. 17 – Probability Models (Day 1 – The Geometric Model) Part IV –Randomness and Probability.
4.3 More Discrete Probability Distributions NOTES Coach Bridges.
+ Binomial and Geometric Random Variables Geometric Settings In a binomial setting, the number of trials n is fixed and the binomial random variable X.
Binomial Probability Section Starter Here’s a game you will like: Let’s bet a dollar on this proposition: I will roll a fair die once. If.
Binomial Distributions Chapter 5.3 – Probability Distributions and Predictions Mathematics of Data Management (Nelson) MDM 4U.
Bernoulli Trials, Geometric and Binomial Probability models.
Special Discrete Distributions: Geometric Distributions.
Discrete Probability Distributions Chapter 4. § 4.3 More Discrete Probability Distributions.
Discrete Probability Distributions Chapter 4. § 4.3 More Discrete Probability Distributions.
Binomial Distributions Chapter 5.3 – Probability Distributions and Predictions Mathematics of Data Management (Nelson) MDM 4U Authors: Gary Greer (with.
6.3 Binomial and Geometric Random Variables
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.
Distributions GeometricPoisson Probability Distribution Review.
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.
Problem: Roll a two dice until you get doubles. How long did you have to wait?
+ Binomial and Geometric Random Variables Textbook Section 6.3.
Discrete Probability Distributions Chapter 4. § 4.3 More Discrete Probability Distributions.
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:
8.2 The Geometric Distribution 1.What is the geometric setting? 2.How do you calculate the probability of getting the first success on the n th trial?
Ch3.5 Hypergeometric Distribution
Negative Binomial Experiment
Unit 6 Random Variables.
CHAPTER 6 Random Variables
Unit 6 Random Variables.
The Binomial Distribution
Binomial & Geometric Random Variables
Binomial Distributions
Chapter 4 Discrete Probability Distributions.
8.2 The Geometric Distribution
MATH 2311 Section 3.3.
12/16/ B Geometric Random Variables.
Chapter 6 Random Variables
Bernoulli Trials Two Possible Outcomes Trials are independent.
6.3 Day 2 Geometric Settings
Warmup The Falcons have won 80% of their games and leading their division. Assume that the result of each game is independent. They have 9 games left.
Geometric Distribution
The Geometric Distribution
Chapter 8: Binomial and Geometric Distribution
MATH 2311 Section 3.3.
Chapter 11 Probability.
Presentation transcript:

* 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 roulette until you win

* The four conditions for a binomial setting are: 1. Success/Failure 2. Independent Trials 3. Constant “p” (probability of success) 4. No set number of trials, n

* The number of trials Y that it takes to get a success in a geometric setting is a geometric random variable. The probability distribution of Y is a geometric distribution with parameter p, the probability of a success on any trial. The possible values of Y are 1, 2, 3, ….

* In Monopoly, one way to get out of jail is to roll doubles. How likely is it that someone in jail would roll doubles on his first, second, or third attempt? If this was the only way to get out of jail, how many turns would it take, on average?

* Find the probability that it takes 3 turns to roll doubles and get out of jail.

* Find the probability that it takes more than 3 turns to roll doubles, and interpret this value in context.

* Same homework assignment as yesterday…just keep working on it!