Microsoft produces a New operating system on a disk. There is 0

Slides:



Advertisements
Similar presentations
AP Statistics Section 6.2C Independent Events & The Multiplication Rule.
Advertisements

Warm-up Define the sample space of each of the following situations…
Presentation 5. Probability.
Randomness and Probability
16.4 Probability Problems Solved with Combinations.
1 Probability Part 1 – Definitions * Event * Probability * Union * Intersection * Complement Part 2 – Rules Part 1 – Definitions * Event * Probability.
4.2 Probability Models. We call a phenomenon random if individual outcomes are uncertain but there is nonetheless a regular distribution of outcomes in.
Chris Morgan, MATH G160 January 18, 2012 Lecture 4 Chapter 4.4: Independence 1.
Learning Goal 13: Probability Use the basic laws of probability by finding the probabilities of mutually exclusive events. Find the probabilities of dependent.
3.3: The Addition Rule Objective: To use the addition rule to calculate probabilities CHS Statistics.
Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113.
Elementary Probability Theory
AP Statistics Notes Chapter 14 and 15.
Section 2 Probability Rules – Compound Events Compound Event – an event that is expressed in terms of, or as a combination of, other events Events A.
Copyright © Ed2Net Learning Inc.1. 2 Warm Up Use the Counting principle to find the total number of outcomes in each situation 1. Choosing a car from.
Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.6 OR and AND Problems.
Two Way Tables Venn Diagrams Probability. Learning Targets 1. I can use a Venn diagram to model a chance process involving two events. 2. I can use the.
Random Experiment Random Variable: Continuous, Discrete Sample Space: S Event: A, B, E Null Event Complement of an Event A’ Union of Events (either, or)
Lesson 6 – 2b Probability Models Part II. Knowledge Objectives Explain what is meant by random phenomenon. Explain what it means to say that the idea.
AP STATISTICS LESSON 6.3 (DAY 1) GENERAL PROBABILITY RULES.
Quiz 10-3 You have the following bills in your wallet: three $20’s, four $10’s, five $5’s, and six $1’s. What is the number of distinct ways you could.
1 CHAPTERS 14 AND 15 (Intro Stats – 3 edition) PROBABILITY, PROBABILITY RULES, AND CONDITIONAL PROBABILITY.
Recap from last lesson Compliment Addition rule for probabilities
Algebra II 10.4: Find Probabilities of Disjoint and Overlapping Events HW: HW: p.710 (8 – 38 even) Chapter 10 Test: Thursday.
Statistics & Econometrics Statistics & Econometrics Statistics & Econometrics Statistics & Econometrics Statistics & Econometrics Statistics & Econometrics.
1 CHAPTER 7 PROBABILITY, PROBABILITY RULES, AND CONDITIONAL PROBABILITY.
1 Probability: Liklihood of occurrence; we know the population, and we predict the outcome or the sample. Statistics: We observe the sample and use the.
Natural Language Processing Giuseppe Attardi Introduction to Probability IP notice: some slides from: Dan Jurafsky, Jim Martin, Sandiway Fong, Dan Klein.
Probability.
Probability A quantitative measure of uncertainty A quantitative measure of uncertainty A measure of degree of belief in a particular statement or problem.
PROBABILITY THEORY RULES OF PROBABILITY - review Rule 1: 0  P(A)  1 for any event A –Any probability is a number between 0 and 1 Rule 2: P(S) = 1 –All.
Independent Events Lesson Starter State in writing whether each of these pairs of events are disjoint. Justify your answer. If the events.
Probability Rules.  P and 44  P ,48,51  P ,57,60.
Chapter 6 Day 2. Multiplication Principle – if you do one task a number of ways and a second task b number of ways, then both tasks can be done a x b.
AP Statistics Notes Chapter 14 and 15.
+ Chapter 5 Probability: What Are the Chances? 5.1Randomness, Probability, and Simulation 5.2Probability Rules 5.3Conditional Probability and Independence.
Independent Events The occurrence (or non- occurrence) of one event does not change the probability that the other event will occur.
5-Minute Check on Section 6-2a Click the mouse button or press the Space Bar to display the answers. 1.If you have a choice from 6 shirts, 5 pants, 10.
Stat 13, Thu 4/19/ Hand in HW2! 1. Resistance. 2. n-1 in sample sd formula, and parameters and statistics. 3. Probability basic terminology. 4. Probability.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 5 Probability: What Are the Chances? 5.2.
MATH Test Review 1. The senior class of a high school has 350 students. How many ways can they select a committee of 5 students?
From Randomness to Probability
Sample Spaces and Probability Addition Rules Multiplication Rules and Conditional Probability Counting Rules Probability and Counting Rules
MATHPOWER TM 12, WESTERN EDITION Chapter 8 Probability 8.2A 8.2A.1.
Section Probability Models AP Statistics December 2, 2010.
1 What Is Probability?. 2 To discuss probability, let’s begin by defining some terms. An experiment is a process, such as tossing a coin, that gives definite.
Classifying Events 8.2A Chapter 8 Probability 8.2A.1
Warm-up Define the sample space of each of the following situations…
Probability.
Probability Normal Distribution Sampling and Sample size
Probability of Multiple Events
Definitions: Random Phenomenon:
Multiplication Rule and Conditional Probability
Lesson 13.4 Find Probabilities of Compound Events
Lesson 11.8 – 11.9 Compound Probability
WARM - UP The American Red Cross says that about 45% of the US Population has Type O blood, 40% Type A, 11% Type B, and the rest Type AB. a.) Selecting.
Probability Models Section 6.2.
Your Algebra 2 Test has 5 true/false and 15 multiple choice questions
Chapter 3 Probability.
Section 6.2 Probability Models
Microsoft produces a New operating system on a disk. There is 0
Lecture 2: Probability.
WARM – UP The diagnosis for having a certain disease has a probability of being wrong (False Positive). A company has 520 employees that must undergo.
Combination and Permutations Quiz!
RGRRR RGRRRG GRRRRR WARM - UP The Die has Four Green and Two Red sides
CHAPTER 5 Probability: What Are the Chances?
Click the mouse button or press the Space Bar to display the answers.
Note 9: Laws of Probability
PROBABILITY RANDOM EXPERIMENTS PROBABILITY OF OUTCOMES EVENTS
Review: Mini-Quiz Combined Events
Presentation transcript:

Microsoft produces a New operating system on a disk. There is 0 Microsoft produces a New operating system on a disk. There is 0.12 probability that it will contain just one bug in the programming. There is a 0.08 probability that there may be two bugs, and 0.04 probability that there are 3+ bugs. What is the probability that you have a bug free operating system? What is the probability that you have at most 2 bugs in the system? If you buy TWO disks what is the probability that both disks have 3+ bugs? If you buy TWO disks what is the probability that at least ONE has a bug? [Hint: P(At Least One) = 1 –P(None)] WARM UP 1 – (.12+.08+.04) = 0.76 .76+.12+.08 = 0.96 (.04)(.04) = 0.0016 No Bugs on TWO disks = (.76)(.76)=.5776 P(At least One)= 1 – .5776 = 0.4224

http://goo.gl/41DaSJ

A B C D VENN DIAGRAM 55 – 12 = 43 125 – 12 = 113 = 12 1600 – (113+12+43) = D A = 125 students in Calculus; B = 55 students in Statistics; C = 12 students in both Calc. and Stats; & D = Students in Neither courses. There are 1600 students at the school. Are Events A and B disjoint? How many Students represents (A and B) = ? How many Students represents Ac = ? How many Students represents D = ? NO! 12 1475 1432

Are mutually exclusive events Independent or Dependent? Independent Events: Two events in which the occurrence of one event has NO EFFECT on the other. P(A ∩ B) = P(A)·P(B) Mutually Exclusive Events are disjoint events. Two events can NEVER occur at the same time. This means that: P(A ∩ B) = 0 Are mutually exclusive events Independent or Dependent?

a.) If X and Y are Mutually Exclusive Find the Probability of X or Y EXAMPLE 1: Given that P(X) = 0.25 and P(Y) = 0.36 P(Z) = 0.15 find: a.) If X and Y are Mutually Exclusive Find the Probability of X or Y b.) If X and Y are Mutually Exclusive Find the Probability of X and Y c.) If X and Y are Independent Find the Probability of X and Y d.) If Y and Z are Independent and X is M.E. to Y and Z, Find the Probability of X or (Y and NOT Z). P(X U Y) = .25 + .36 = 0.61 P(X ∩ Y) = 0 P(X ∩ Y) = .25 x.36 = 0.09 P(X U (Y ∩ Zc) = .25 + .36 x .85 = 0.556

Example 2 : 56% of automobiles in TX are SUVs. 85% of SUV are Black, 2% are White, and 13% are other colors. What is the probability that a randomly chosen automobile will be a SUV that is NOT Black? What is the probability that a randomly chosen automobile is NOT a SUV OR a SUV and its White? What is the probability that when randomly choosing two SUVs, at least one of them is black? P(S ∩ Bc) = .56 x .15 = 0.084 P(SC U (S ∩ W)) = P(SC U (S ∩ W)) = .44 + .56 x .02 = 0.4512 P(At Least 1 Black) = 1 – P(Neither is Black) = 1 – P(Bc ∩ Bc) = 1 – (.15)(.15) = 0.9775

Example 3. The American Red Cross says that about 45% of the US Population has Type O blood, 40% Type A, 11% Type B, and the rest Type AB. a.) Selecting one individual, what is the probability that: 1. has Type AB blood? 2. has Type A or Type B? 3. is NOT Type O? b.) Among four potential donors, what is the probability that: 1. all are Type O? 2. no one is Type AB? 3. at least one person is Type B? P(AB) = 1 – P(OUAUB) = 0.04 P(AUB) = 0.51 P(OC) = 0.55 P(O∩O∩O∩O) = 0.041 P(ABC∩ABC∩ABC∩ABC) = 0.849 1 – P(BC∩BC∩BC∩BC) = 0.373

P(A U B) = P(A)+P(B) – P(A ∩ B) P(Ac ∩ Bc) = 1 – P(A U B) EXAMPLE 2: Let event A = Making a ‘5’ on the AP Stat exam. Let event B = Making a ‘5’ on the AP Calculus exam. If P(A) = 0.14, P(B) = 0.08, and P(A ∩ B) = 0.04 find: 1.) Find the probability that you will make a ’5’ on at least one of the exam. P(A U B)=? 2.) Find the probability that you will NOT make 5 on either exams. P(Ac ∩ Bc) = ? P(A U B) = P(A)+P(B) – P(A ∩ B) 0.18 = 0.14 + 0.08 – 0.04 P(Ac ∩ Bc) = 1 – P(A U B) P(Ac ∩ Bc) = 1 – 0.18 = 0.82

1.) Are events A and B Independent, Mutually Exclusive, or Neither? EXAMPLE 1: If P(A) = 0.40, P(B) = 0.20, and P(A U B) = 0.52 find: P(A ∩ B)=? 1.) Are events A and B Independent, Mutually Exclusive, or Neither? P(A U B) = P(A)+P(B) – P(A ∩ B) 0.52 = 0.40 + 0.20 – P(A ∩ B) P(A ∩ B) = 0.08 ≠ 0 NOT M.E. = 0.08 = P(A)xP(B)

Monty Hall problem Suppose you're on a game show, and you're given the choice of three doors: Behind one door is a car; behind the others, goats. You pick a door, say No. 1, and the host, who knows what's behind the doors, opens another door, which always a goat. He then says to you, "Do you switch your choice or stay?” What should you do? Does it matter?

Monty Hall problem Do NOT Switch Switch Win = 33% Win = 66%

Page 341 20, 21, 23-25, 27, 28, 31, 33, 34

More with Multiplication Rule 4. A password for a certain computer application MUST be exactly 5 characters long. (Character = Alphabet and Digits) If the first character can not be a number, how many password combinations are possible if: a.) you are NOT allowed to Repeat any character? _____ _____ _____ _____ _____ b.) you are allowed to Repeat? 26 x 35 x 34 x 33 x 32 = 32672640 26 x 36 x 36 x 36 x 36 = 43670016

5. A standard Deck of cards has 52 cards four suits of (2 – 10, J, Q, K, A). Find the Probability of: Selecting ONE card and that card being a: 1.) Heart or a Club 2.) Heart or a Five 3.) Face Card or a Spade 4.) Red Card or a Face Card Selecting TWO cards (With Replacement) and obtaining a: 5.) Heart and then a Face Card 6.) Heart and then a Five 7.) Two Aces 8.) Two Red Cards Selecting TWO cards (Without Replacement) and obtaining a: 9.) Two Aces 10.) Heart and then a Face Card 1/2 4/13 11/26 8/13 3/52 1/52 1/169 1/4 1/221 11/204

Selecting ONE card and that card being a: 1.) Heart or a Club 2.) Heart or a Five 3.) Face Card or a Spade 4.) Red Card or a Face Card Selecting TWO cards (With Replacement) and obtaining a: 5.) Heart and then a Face Card. 6.) Heart and then a Five 7.) Two Aces 8.) Two Red Cards Selecting TWO cards (Without Replacement) and obtaining a: 9.) Two Aces 10.) Heart and then a Face Card