The Multiplication Rule: Complements and Conditional Probability

Slides:



Advertisements
Similar presentations
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 5.2.
Advertisements

Homework Answers 5. Independent 9. Dependent 6. Dependent 10. Independent 7. Dependent 11. Independent 8. Independent 12. Dependent.
Section 4.4 The Multiplication Rules & Conditional Probability
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 5.4.
 A. A math teacher gave her class two tests. 25% of the class passed both tests and 42 % of the class passed the first test. What percent of those.
SECTION 4.3 CONDITIONAL PROBABILITY AND THE MULTIPLICATION RULE Copyright ©2014 The McGraw-Hill Companies, Inc. Permission required for reproduction or.
3.6: Probabilities Through Simulations Objective: To simulate probabilities using random number tables and random number generators CHS Statistics.
Today Today: Some more counting examples; Start Chapter 2 Important Sections from Chapter 1: ; Please read Reading: –Assignment #2 is up.
Binomial Probability Distributions
Mean, Variance, and Standard Deviation for the Binomial Distribution
Binomial & Geometric Random Variables
Complements and Conditional Probability
Applying the ideas: Probability
4-5 Multiplication Rule: Complements and Conditional Probability Probability of “at least one”: Find the probability that among several trials, we get.
 Probability- the likelihood that an event will have a particular result; the ratio of the number of desired outcomes to the total possible outcomes.
Probability (2) Conditional Probability. For these 6 balls, if 2 are chosen randomly …. What is the probability they are a green and a red? P(G) = 2/6.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 5.2.
Statistics Probabilities
The Binomial Distribution
Homework Quiz In a randomly selected class at OHS (Mr. Llorens’ Stats class) , the following data is obtained regarding the current grades of students:
Chapter 1 Basics of Probability.
Slide 1 Definition Figures 3-4 and 3-5 Events A and B are disjoint (or mutually exclusive) if they cannot both occur together.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 6: Probability: What are the Chances? Section 6.3 Conditional Probability.
6.2 – Binomial Probabilities You are at your ACT test, you have 3 problems left to do in 5 seconds. You decide to guess on all three, since you don't have.
Slide Slide 1 Created by Tom Wegleitner, Centreville, Virginia Edited by Olga Pilipets, San Diego, California Multiplication Rule.
Section 4.4 Multiplication Rules & Conditional Probability Objectives: ◦Determine if a compound event is independent or dependent ◦Find the probability.
Binomial Distributions
Each child born to a particular set of parents has probability of 0.25 having blood type O. Suppose these parents have 5 children. Let X = number of children.
Conditional Probability
Ch.4 DISCRETE PROBABILITY DISTRIBUTION Prepared by: M.S Nurzaman, S.E, MIDEc. ( deden )‏
Chapter 5 Lecture 2 Sections: 5.3 – 5.4.
Section 6.3 Binomial Distributions. A Gaggle of Girls Let’s use simulation to find the probability that a couple who has three children has all girls.
Tree Diagram Worksheet
Binomial Probability Distribution
Counting – Day 1 Section 4.7. Why Do We Need Counting Methods? When finding a basic probability, what are the two things we need to know? Number of different.
Bell Work Quiz In a randomly selected class at WHS (Mrs. Smith AP Stats class), the following data is obtained regarding the current grades of students:
16.1: Basic Probability. Definitions Probability experiment: An action through which specific results (counts, measurements, or responses) are obtained.
IT College Introduction to Computer Statistical Packages Lecture 8 Eng. Heba Hamad.
Chapter 4 Lecture 3 Sections: 4.4 – 4.5. Multiplication Rule Recall that we used addition for the P(A or B). the word “or” in P(A or B) suggests addition.
Probability 2.0. Independent Events Events can be "Independent", meaning each event is not affected by any other events. Example: Tossing a coin. Each.
Section 3.2 Notes Conditional Probability. Conditional probability is the probability of an event occurring, given that another event has already occurred.
Instructions  Students will be split up into groups of 3-4 ›Turn your desks to face each other ›Do not talk to anyone outside your group ›Each student.
Complements and Conditional Probability
Chapter 4 Review. Question 1  Determine if each of the following is a probability  -1.2 .467  57%  2/3.
Chapter 6 Lesson 6.6 Probability 6.6 General Probability Rules.
Your 3rd quiz will cover sections a){HHH,HTT,THT,TTH,THH,HTH,HHT,TTT} {0,1,2,3} b) {1/8,3/8,3/8,1/8} d) P(x=2 or x=3)= P(x=2)+P(x=3)=3/8+1/8=1/2.
Conditional Probability and Multiplication Rule Section 3.2.
Section 3.2 Conditional Probability and the Multiplication Rule.
Holt McDougal Algebra 2 Binomial Distributions The pattern in the table can help you expand any binomial by using the Binomial Theorem.
+ Chapter 5 Probability: What Are the Chances? 5.1Randomness, Probability, and Simulation 5.2Probability Rules 5.3Conditional Probability and Independence.
Section 5-3 Binomial Probability Distributions. Binomial Probability Distribution A binomial probability distribution results from a procedure that meets.
MATH Section 3.1.
Section 5.3 Independence and the Multiplication Rule.
Probability. Probability of an Event A measure of the likelihood that an event will occur. Example: What is the probability of selecting a heart from.
Unit 5 Lesson 5 Probability 6.6 General Probability Rules.
Warm up - let me know when you and your partner are done You have a multiple choice quiz with 5 problems. Each problem has 4 choices. 1.What is the probability.
Section 6.3 Day 1 Binomial Distributions. A Gaggle of Girls Let’s use simulation to find the probability that a couple who has three children has all.
Probability. Definitions Probability: The chance of an event occurring. Probability Experiments: A process that leads to well- defined results called.
We want to see who has the luck! Tally up the number of times each player wins. Play from games. PlayersTallyGames Won Player 1 Player 2 Player 3.
Section 5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution.
Probability Class Homework Check Assignment: Chapter 7 – Exercise 7.20, 7.29, 7.47, 7.48, 7.53 and 7.57 Reading: Chapter 7 – p
Binomial Probability Distributions
Probability Theoretical Probability
Binomial and Geometric Random Variables
The Multiplication Rule: Complements and Conditional Probability
The Wink Game In the cup are 2 chips. One chip has a dot ( ) on it and the other chip has a dash ( ). One chip is drawn from the cup. The symbol on.
Please get in groups of 3 (you need 8 half sheets of paper)
Chapter 4 Lecture 3 Sections: 4.4 – 4.5.
Presentation transcript:

The Multiplication Rule: Complements and Conditional Probability Section 4-5

What’s New? Probability of “at least 1” Formula for Conditional Probability

Challenge Problem You are considering purchasing 3 new TV’s for your college apartment. The size options at the store are 20”, 32” and 56” (assume there is an endless supply of all 3). If you randomly choose what sizes you will purchase, what is the probability that you don’t buy any 32” TV? What is the probability that you buy at least 1 32”? 1 – P(buy none)

Formula for “At Least 1” 𝑃 𝑎𝑡 𝑙𝑒𝑎𝑠𝑡 1 =1 −𝑃 𝑛𝑜𝑛𝑒 Getting at least 1 and getting none are complimentary events. Therefore their probabilities should sum up to 1. This is how we derive the above formula.

Example 1 Find the probability of a couple having at least 1 girl among 3 children. Assume that boys and girls are equally likely and that the gender of a child is independent of any other child. First, what is the probability of having no girls? Second, apply the complement rule! ½*1/2*1/2 = 1/8 1-1/8 = 7/8

Example 2 Assume that the probability of a defective Firestone tire is 0.0003. If the retail outlet CarStuff buys 100 Firestone tires, find the probability that they get at least 1 defective tire. (.9997)^100 = .970 1-.970 = .03

Use this time to relax or try the following rebus puzzles. Switching Gears … Use this time to relax or try the following rebus puzzles. All over again

Challenge Problem Use the table below to determine the probability that a person tests positive given that they actually lied. No (didn’t lie) Yes (lied) Positive Test 15 42 Negative Test 32 9 42/98 P(positive | lied) = P(positive and lied) / P(lied) = (42/98) * (98/51) = 42/51 = .824

What Do We Need To Know? Probability of an event is often affected by knowledge of circumstances. For example, the probability of a golfer making a hole in one is 0.000083 (based on past results). The probability of a professional golfer making a hole in one? 0.000421

Conditional Probability Using the Multiplication Rule, we can derive a new formula for calculating conditional probability. 𝑃 𝐵 𝐴 = 𝑃(𝐴 𝑎𝑛𝑑 𝐵) 𝑃(𝐴) Conditional probability of an event is a probability obtained with the additional information that some other event has already occurred.

Example 3 A math teacher gave her class two tests. 25% of the class passed both tests and 42% of the class passed the first test. What is the probability of passing the second test if the first test was passed? P(pass 2nd test | passed 1st test) = P (passed 1st and 2nd) / P(passed 1st) = .25/.42 = .595

Example 4 At Kennedy Middle School, the probability that a student takes Technology and Spanish is 0.087. The probability that a student takes Technology is 0.68. What is the probability that a student takes Spanish given that the student is taking Technology? What is the probability of getting at least one 5-answer multiple choice question correct out of 4 questions? P(Spanish | Technology) = P(Spanish and Technology) / P(Technology) = .087/.68 = .128 1 – P(none correct) = 1 – (4/5)*(4/5)*(4/5)*(4/5) = 1 - .410 = .590

Example 5 In New York State, 48% of all teenagers own a skateboard and 39% of all teenagers own a skateboard and roller blades. What is the probability that a teenager owns roller blades given that the teenager owns a skateboard? A company tests a batch of altimeters without replacement to see if they are acceptable for distribution. If one altimeter is faulty, then the whole batch is denied. Given that 3% of altimeters are faulty, what is the probability that a batch of 400 altimeters will be denied based on the first two items selected? P(owns roller blades | owns skateboard) = P(owns blades and skateboard)/ P(owns skateboard) = .39/.48 = .813 1 – P(1st and second aren’t faulty) = 1 - .97*.97 = 1 - .941 = .0590 ****this is the alarm clock problem

Example 6 The probability that it is Friday and that a student is absent is 0.03. Since there are 5 school days in a week, the probability that it is Friday is 0.2. What is the probability that a student is absent given that today is Friday? P(absent | Friday) = P(absent and Friday)/ P(Friday) = .03/.2 = .15

Homework p.175: 12, 15, 17, 19-22 Project Write-up due tomorrow