Exercises on Discrete distributions

Slides:



Advertisements
Similar presentations
Negative Binomial Distribution
Advertisements

Objective: Probability Trees Anne tosses 2 coins, one after the other. List all the possible outcomes. How could you do it?
Name That Distribution!
Chapter 3. Discrete Probability Distributions
ST3236: Stochastic Process Tutorial 9
THE GREEN CROSS CODE THE STARS TEAM Traffic Survey 214 Vehicles passed our school In 30 minutes.
Traffic light contoller using FSM
1 Probability- Independence and Fundamental Rules Dr. Jerrell T. Stracener, SAE Fellow EMIS 7370 STAT 5340 Probability and Statistics for Scientists and.
Decision Maths Lesson 14 – Simulation. Wiltshire Simulation There are many times in real life where we need to make mathematical predictions. How long.
Balanced and Unbalanced Forces Review What happens to the motion of an object when the forces are balanced? a.The motion changes. b.The motion does not.
Finding a Binomial Probability
Sampling distributions. Example Take random sample of 1 hour periods in an ER. Ask “how many patients arrived in that one hour period ?” Calculate statistic,
Chapter 3 Probability Distribution. Chapter 3, Part A Probability Distributions n Random Variables n Discrete Probability Distributions n Binomial Probability.
Principles of Engineering System Design Dr T Asokan
THE “ JAM HANDELER ” THE “ JAM HANDELER ”. In the modern urban world, most people spend hours commuting in heavy traffic. Time and mental energy are wasted.
McGraw-Hill Ryerson Copyright © 2011 McGraw-Hill Ryerson Limited. Adapted by Peter Au, George Brown College.
SAT MATH Drill Lesson 6. Drill Day 6 1. List the consecutive integers from -3 to 5 inclusive. 2. List the consecutive even integers from -5 to 7 3. List.
CA200 Quantitative Analysis for Business Decisions.
CHAPTER SIX FUNCTIONS OF RANDOM VARIABLES SAMPLING DISTRIBUTIONS.
Chapter 5 Some Discrete Probability Distributions.
Lesson Geometric Probability Distribution. Construction Objectives Given the probability of success, p, calculate the probability of getting the.
Section 7.5 The Central Limit Theorem 7.5 / 1. Theorem 7.1 for a Normal Probability Distribution (a)The x distribution is a normal distribution. (b)The.
In this chapter we will consider two very specific random variables where the random event that produces them will be selecting a random sample and analyzing.
TThe FIRST FEW MINUTES of rainfall. TTherefore, it is the most dangerous because you can lose control of the vehicle.
LESSON Geometric Probability Distribution. VOCABULARY Geometric Setting – random variable meets geometric conditions Trial – each repetition of.
Probabilistic and Statistical Techniques 1 Lecture 19 Eng. Ismail Zakaria El Daour 2010.
 A probability function is a function which assigns probabilities to the values of a random variable.  Individual probability values may be denoted by.
Copyright ©2011 Nelson Education Limited The Binomial Experiment n identical trials. 1.The experiment consists of n identical trials. one of two outcomes.
Geometric Distribution. Similar to Binomial Similar to Binomial Success/FailureSuccess/Failure Probabilities do NOT changeProbabilities do NOT change.
Geometric Distribution In some situations, the critical quantity is the WAITING TIME (Waiting period)  number of trials before a specific outcome (success)
Chapter 5 Lecture 2 Sections: 5.3 – 5.4.
Hypothesis Tests In statistics a hypothesis is a statement that something is true. Selecting the population parameter being tested (mean, proportion, variance,
Speed Limits, Speed Control and Stopping Regulations.
1 Systems Analysis Methods Dr. Jerrell T. Stracener, SAE Fellow SMU EMIS 5300/7300 NTU SY-521-N NTU SY-521-N SMU EMIS 5300/7300 Queuing Modeling and Analysis.
Free Powerpoint Templates ROHANA BINTI ABDUL HAMID INSTITUT E FOR ENGINEERING MATHEMATICS (IMK) UNIVERSITI MALAYSIA PERLIS ROHANA BINTI ABDUL HAMID INSTITUT.
Sampling Distribution of a Sample Mean Lecture 30 Section 8.4 Mon, Mar 19, 2007.
 A probability function is a function which assigns probabilities to the values of a random variable.  Individual probability values may be denoted.
Walking between home and school. Leaving home in the morning on your walk to school.
Section 5.1 Composite Functions. Suppose that an oil tanker is leaking oil and we want to be able to determine the area o the circular oil patch around.
Unit 8 Section 8-3 – Day : P-Value Method for Hypothesis Testing  Instead of giving an α value, some statistical situations might alternatively.
Question 14 Exercise page 341 Carwash. This records our frustration with trying to match our answer with the back of the book. Learning did happen.
Discrete Review Game. About 25% of those called for jury duty will find an excuse (work, poor health, travel, etc.) to avoid jury duty. If 12 people are.
Uniform Distributions and Random Variables Lecture 23 Sections 6.3.2, Mon, Oct 25, 2004.
Some Common Discrete Random Variables. Binomial Random Variables.
Modeling Discrete Variables Lecture 22, Part 1 Sections 6.4 Fri, Oct 13, 2006.
STATISTIC & INFORMATION THEORY (CSNB134) MODULE 7B PROBABILITY DISTRIBUTIONS FOR RANDOM VARIABLES ( POISSON DISTRIBUTION)
 A probability function is a function which assigns probabilities to the values of a random variable.  Individual probability values may be denoted.
Trigonometric Functions 2.2 – Definition 2 JMerrill, 2006 Revised, 2009 (contributions from DDillon)
Section 6.1 Composite Functions. Form a Composite Function.
Copyright © Cengage Learning. All rights reserved. 3 Discrete Random Variables and Probability Distributions.
Copyright © Cengage Learning. All rights reserved. 3 Discrete Random Variables and Probability Distributions.
Distance Formula d = r ∙ t distance = rate ∙ time.
Lesson 6 – 2a Geometric Probability Distribution.
MAT 1235 Calculus II Section 8.5 Probability
Part 2: Named Discrete Random Variables
12.1 Discrete Probability Distributions (Poisson Distribution)
Intersections.
1 5.6 Poisson Distribution and the Poisson Process Some experiments result in counting the numbers of particular events occur in given times or on given.
Chapter 3 Probability Distribution.  A probability function is a function which assigns probabilities to the values of a random variable.  Individual.
Copyright © Cengage Learning. All rights reserved. The Binomial Probability Distribution and Related Topics 5.
The Poisson probability distribution
Uniform Distributions and Random Variables
Geometric Probability Distribution
Random Variables Review Game
In-Class Exercise: The Poisson Distribution
Transportation Engineering Basic Queuing Theory February 18, 2011
Lecture 26 Section – Tue, Mar 2, 2004
In-Class Exercises: Interpretations of Probability
VEHICLE TECHNOLOGY AIR CONDITIONING SYSTEMS.
Presentation transcript:

Exercises on Discrete distributions

A traffic control engineer reports that 75% of the vehicles passing through a checkpoint are from within the state. What is the probability that fewer than 2 of the next 5 vehicles are from out of state?

Suppose that a computer programmer, on average, makes 3 errors in 500 lines of code. What is the probability that the programmer will make no errors in 250 lines of code?

Six is the average number of oil tankers arriving each day at a certain port city. The facilities can handle at most 10 tankers per day. What is the probability that on a given day, some tankers will have to be turned away?

An Air Force intercept squadron consists of 16 planes that should always be ready for immediate launch. However, there is a probability of 0.25 that the engine of each plane will not start at a given attempt. If this happens, the mechanics must wait 5 minutes before trying to start the engine again. What is the expected number of planes to immediately launch?

The number of cracks in a section of interstate highway averages 2 per mile. What is the probability that there will be at least 1 crack in the next ½ mile of the highway?

A particularly long traffic light on your way to work in the morning is green 20% of the time that you approach it. Over 20 mornings, what is the probability that the light is green on exactly 4 days?