Homework Answers 5. a) discrete b) Continuous c) Continuous d) Discrete e) continuous 6. a) continuous b) Discrete c) Discrete d) Continuous e) discrete.

Slides:



Advertisements
Similar presentations
Random Variables A random variable is a variable (usually we use x), that has a single numerical value, determined by chance, for each outcome of a procedure.
Advertisements

Sections 4.1 and 4.2 Overview Random Variables. PROBABILITY DISTRIBUTIONS This chapter will deal with the construction of probability distributions by.
Section 5.1 Random Variables
Chapter 4 Probability Distributions
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Created by Tom Wegleitner, Centreville, Virginia Section 5-2.
Slide 1 Statistics Workshop Tutorial 4 Probability Probability Distributions.
Binomial Probability Distributions
Lecture Slides Elementary Statistics Twelfth Edition
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Created by Tom Wegleitner, Centreville, Virginia Edited by.
Slide 1 Statistics Workshop Tutorial 7 Discrete Random Variables Binomial Distributions.
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Discrete Distributions Chapter 5.
Problems Problems 3.75, 3.80, Random Variables.
Section 5.2 Random Variables.
5-2 Probability Distributions This section introduces the important concept of a probability distribution, which gives the probability for each value of.
Discrete Probability Distributions Lecture 1 Sections: 5.1 – 5.2
MATH 1107 Elementary Statistics Lecture 8 Random Variables.
Chapter 5 Probability Distributions
MATH 1107 Elementary Statistics Lecture 8 Random Variables.
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Random Variables  Random variable a variable (typically represented by x)
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Review and Preview This chapter combines the methods of descriptive statistics presented in.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Chapter 5 Discrete Probability Distributions 5-1 Review and Preview 5-2.
Slide 1 Copyright © 2004 Pearson Education, Inc..
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Chapter 4 Probability Distributions
AP Statistics Section 7.2A Mean & Standard Deviation of a Probability Distribution.
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Lecture Slides Elementary Statistics Tenth Edition and the.
Chapter 5 Discrete Probability Distributions Lecture 1 Sections: 5.1 – 5.2.
Poisson Probability Distributions
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
A study of education followed a large group of fourth-grade children to see how many years of school they eventually completed. Let x be the highest year.
REVIEW. IS THE FOLLOWING A PROBABILITY DISTRIBUTION? XP(x)
DISCRETE PROBABILITY DISTRIBUTIONS
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Section 5-2 Random Variables.
Statistics Probability Distributions – Part 1. Warm-up Suppose a student is totally unprepared for a five question true or false test and has to guess.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 5-5 Poisson Probability Distributions.
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Random Variables  Random variable a variable (typically represented by x)
Sections 5.1 and 5.2 Review and Preview and Random Variables.
Warm Up Section Explain why the following is not a valid probability distribution? 2.Is the variable x discrete or continuous? Explain. 3.Find the.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 5-1 Review and Preview.
Discrete and Continuous Random Variables. Yesterday we calculated the mean number of goals for a randomly selected team in a randomly selected game.
Discrete Random Variables
The Variance of a Random Variable Lecture 35 Section Fri, Mar 26, 2004.
AP Statistics Section 7.2A Mean & Standard Deviation of a Probability Distribution.
Lesson Distribution of the Sample Mean. Objectives Understand the concept of a sampling distribution Describe the distribution of the sample mean.
Chapter 5 Probability Distributions 5-1 Overview 5-2 Random Variables 5-3 Binomial Probability Distributions 5-4 Mean, Variance and Standard Deviation.
Warm Up 1. The probability of getting the numbers 1,2,3,4 out of hat are 3/8, 3/8,1/8,1/8. Construct a probability distribution (table) for the data and.
7.2 Day 1: Mean & Variance of Random Variables Law of Large Numbers.
Chapter 7 Lesson 7.4a Random Variables and Probability Distributions 7.4: Mean and Standard Deviation of a Random Variable.
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Created by Tom Wegleitner, Centreville, Virginia Section 5-3.
Slide 1 Copyright © 2004 Pearson Education, Inc. Chapter 5 Probability Distributions 5-1 Overview 5-2 Random Variables 5-3 Binomial Probability Distributions.
Probability Distributions ( 확률분포 ) Chapter 5. 2 모든 가능한 ( 확률 ) 변수의 값에 대해 확률을 할당하는 체계 X 가 1, 2, …, 6 의 값을 가진다면 이 6 개 변수 값에 확률을 할당하는 함수 Definition.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Discrete Probability Distributions 6.
Section 5-1 Review and Preview.
You Bet Your Life - So to Speak
Mean, Variance, and Standard Deviation for the Binomial Distribution
Section 5.1 Review and Preview.
Mean and Standard Deviation
Lecture Slides Elementary Statistics Twelfth Edition
Mean and Standard Deviation
Mean and Standard Deviation
A study of education followed a large group of fourth-grade children to see how many years of school they eventually completed. Let x be the highest year.
Lecture Slides Elementary Statistics Twelfth Edition
Mean and Standard Deviation
The Normal Distribution
Random Variables Random variable a variable (typically represented by x) that takes a numerical value by chance. For each outcome of a procedure, x takes.
Lecture Slides Essentials of Statistics 5th Edition
Mean and Standard Deviation
You can choose one of three boxes
Lecture Slides Essentials of Statistics 5th Edition
Binomial Distributions
Presentation transcript:

Homework Answers 5. a) discrete b) Continuous c) Continuous d) Discrete e) continuous 6. a) continuous b) Discrete c) Discrete d) Continuous e) discrete 7. yes; μ = 1.5; σ = .9 8. No 9. no 10. yes; μ = 0.6; σ = 0.7

Section 5.2 Random Variables

Homework Quiz Is the following a probability distribution? X P(x) .3 1 .3 1 .27 2 .14 3 .03 4 .21 5

How to use the Calculator TI-83 / TI-84 Computing Mean and Standard Deviation Enter the values of the random variable x in the list L1. Enter the corresponding probabilities in the list L2. Press STAT, select CALC option and choose 1-Var Stats Enter "L1,L2" and Press the ENTER key.

Building Onto Previous Knowledge Important Definition The expected value of a discrete random variable is denoted by E, and it represents the mean value of the outcomes. It is obtained by finding the value of Where have we seen this before?

A Little Clarification We can think of the mean as the expected value in the sense that it is the average value that we would expect to get if the trials could continue indefinitely. For example, an expected value of 3.2 girls is not meant to be interpreted as the number of girls in one trial will be equal to 3.2, but rather it means that among many such trials, the mean number of girls is 3.2

So how do we know what to expect? The Exciting Stuff So how do we know what to expect? Range Rule of Thumb Maximum usual value = Minimum usual value =

So how do we know what to expect? The Exciting Stuff So how do we know what to expect? Rare Event Rule x successes among n trials is an unusually high result when P(x or more) ≤ 0.05 x successes among n trials is an unusually low results when P(x or fewer) ≤ 0.05

Now Apply It! Based on data from CarMax. Com when a car is randomly selected the number of bumper stickers and the corresponding probabilities are 0 (0.824), 1(0.083), 2 (0.039), 3 (0.014), 4 (0.012), 5 (0.008), 6 (0.008), 7 (0.004), 8 (0.004), and 9 (0.004). Does the given information describe a probability distribution? Is it unusual for a car to have more than one bumper sticker?

Now Apply It! In the Illinois Pick 3 lottery game, you pay $0.50 to select a sequence of three digits, such as 233. If you select the same sequence of three digits that are drawn, you win and collect $250. How many different selections are possible? What is the probability of winning? Determine the expected value of your earnings.

Now Apply It! There is a 0.9968 probability that a randomly selected 50- year-old female lives through the year (based on data from the U.S Department of Health and Human Services). A Fidelity life insurance company charges $226 for insuring that the female will live through the year. If she does not survive the year, the policy pays out $50,000 as a death benefit. If she purchases this policy, what is the expected value of the insurance company’s profit?

Homework Pg. 216-217 #16, 17, 18, 28, 29