POD #5012/2/20112007B #6b Is this model appropriate? Write the equation of the LSRL.

Slides:



Advertisements
Similar presentations
Chapter 15 Probability Rules!.
Advertisements

Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 15 Probability Rules!
Copyright © 2010 Pearson Education, Inc. Chapter 15 Probability Rules!
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 15 Probability Rules!
W HICH OF THE FOLLOW STATISTICS IS NOT TRUE ? Slide More than 50% of American adults are single. 2. For the average individual, the number of years.
Chapter 15 Probability Rules!
The Practice of Statistics Third Edition Chapter 6: Probability and Simulation: The Study of Randomness Copyright © 2008 by W. H. Freeman & Company Daniel.
Sets: Reminder Set S – sample space - includes all possible outcomes
Section 5.2 Probability Rules
Do you know when Exam 1 is? Yes No I need a break.
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 4-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 15 Probability Rules!
Applying the ideas: Probability
A newly hired telemarketer is told he will probably make a sale on about 12% of his phone calls. The first week he called 200 people, but only made 10.
Chapter 15: Probability Rules!
Chapter 15: Probability Rules
Probability Denoted by P(Event) This method for calculating probabilities is only appropriate when the outcomes of the sample space are equally likely.
“Baseball is 90% mental. The other half is physical.” Yogi Berra.
AP Statistics Notes Chapter 14 and 15.
Conditional Probability
1 Probability. 2 Today’s plan Probability Notations Laws of probability.
AP Statistics Chapter 6 Notes. Probability Terms Random: Individual outcomes are uncertain, but there is a predictable distribution of outcomes in the.
Chapter 1:Independent and Dependent Events
Some Probability Rules Compound Events
Slide 15-1 Copyright © 2004 Pearson Education, Inc.
Probability Rules!! Chapter 15.
Copyright © 2010 Pearson Education, Inc. Chapter 15 Probability Rules!
Probability Definition: Probability: the chance an event will happen. # of ways a certain event can occur # of possible events Probability =  Probability.
1 Chapter 4, Part 1 Repeated Observations Independent Events The Multiplication Rule Conditional Probability.
Copyright © 2010 Pearson Education, Inc. Chapter 6 Probability.
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin A Survey of Probability Concepts Chapter 5.
Conditional Probability and the General Multiplication Rule.
Copyright © 2010 Pearson Education, Inc. Slide
Math I.  Probability is the chance that something will happen.  Probability is most often expressed as a fraction, a decimal, a percent, or can also.
The Study of Randomness
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.
Aim: ‘And’ Probabilities & Independent Events Course: Math Lit. Aim: How do we determine the probability of compound events? Do Now: What is the probability.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 5 Probability: What Are the Chances? 5.3.
Independent Events The occurrence (or non- occurrence) of one event does not change the probability that the other event will occur.
1 Chapter 15 Probability Rules. 2 Recall That… For any random phenomenon, each trial generates an outcome. An event is any set or collection of outcomes.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 15 Probability Rules!
CHAPTER 15 PROBABILITY RULES!. THE GENERAL ADDITION RULE Does NOT require disjoint events! P(A U B) = P(A) + P(B) – P(A ∩ B) Add the probabilities of.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 5: Probability: What are the Chances? Section 5.2 Probability Rules.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 15 Probability Rules!
Chapter 15 Probability Rules Robert Lauzon. Probability Single Events ●When you are trying to find the probability of a single outcome it can be found.
Copyright © 2010 Pearson Education, Inc. Chapter 15 Probability Rules!
Chapter 15 Probability Rules!. The General Addition Rule If A and B are disjoint use: P(A  B) = P(A) + P(B) If A and B are not disjoint, this addition.
Probability. Definitions Probability: The chance of an event occurring. Probability Experiments: A process that leads to well- defined results called.
+ Section 5.2 Probability Rules After this section, you should be able to… DESCRIBE chance behavior with a probability model DEFINE and APPLY basic rules.
Copyright © 2009 Pearson Education, Inc. Chapter 15 Probability Rules!
Chapter 14 Probability Rules!. Do Now: According to the 2010 US Census, 6.7% of the population is aged 10 to 14 years, and 7.1% of the population is aged.
Sections 3-3 and 3-4 Probability. PROBABILITY AND STATISTICS CHAPTER 3 NOTES WARM-UP Respondents in three cities were asked whether they would buy a new.
AP Statistics From Randomness to Probability Chapter 14.
Section Probability Models AP Statistics December 2, 2010.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 15 Probability Rules!
Definitions Addition Rule Multiplication Rule Tables
Chapter 15 Probability Rules!
Chapter 15 Probability Rules!.
Elementary Probability Theory
The study of randomness
Chapter 15 Probability Rules! ..
Independent and Dependent Events
Chapter 3.1 Probability Students will learn several ways to model situations involving probability, such as tree diagrams and area models. They will.
Chapter 14 Probability Rules!.
Warmup The chance of winning a prize from Herff- Jones is 1/22. How would you set up a simulation using the random number table to determine the probability.
Chapter 15 Probability Rules! Copyright © 2010 Pearson Education, Inc.
Chapter 15 Probability Rules!.
Chapter 15 Probability Rules! Copyright © 2010 Pearson Education, Inc.
Dan’s Diner employs three dishwashers
Presentation transcript:

POD #5012/2/ B #6b Is this model appropriate? Write the equation of the LSRL

Stats: Modeling the World Chapter 15 Probability Rules!

Example On a large college campus, the RA’s randomly selected one dorm room per floor for a total of 100 rooms. This survey revealed that 38 had refrigerators, 52 had TVs, and 21 had both a TV and a fridge How many of the dorm rooms had a TV or a refrigerator? (either or both) fridge TV

How many students were interviewed? How many students liked Rock? How many students liked Rap OR Country? How many students liked 2 out of 3 types? How many students liked all three types? How many students liked 1 type of music only?

Using a roster of all students in an elementary school, 35 students were randomly selected. Ten of the students had blonde hair, 14 had brown eyes, and 4 had both blonde hair and brown eyes. If a child is selected at random, find the probability that the child has blonde hair or brown eyes. (either or both) Blonde hair Brown eyes 4610

As 400 college students walked by our interviewer, we learned that 120 are enrolled in math, 220 are enrolled in English, and 55 are enrolled in both. Find the probability that… a. the student is enrolled in mathematics. b. the student is enrolled in mathematics or English. c. the student is enrolled in either mathematics or English, but not both. MathEnglish

A survey of 100 couples (taken by calling every 50 th person from the voter rolls) found the that the husband was employed in 85 of the couples. The wife was employed in 60 of the couples, and both spouses were employed in 55 of the couples. Find the probability that a. at least one of them is employed. b. neither is employed. Husband Wife 55305

Example On a large college campus, the RA’s randomly selected one dorm room per floor for a total of 100 rooms. This survey revealed that 38 had refrigerators, 52 had TVs, and 21 had both a TV and a fridge How many of the dorm rooms had a TV or a refrigerator? (either or both) fridge TV

General Addition Rule For any two events A and B, P(A or B) = P(A) + P(B) – P(A and B) When the two events are disjoint or mutually exclusive, then P(A and B)=0

POD #5112/5/2011Vocab Review Please number your paper Reassessments and makeup work should be done by Wednesday, Dec 14!!!

Comparing Venns to Tables A check of dorm rooms on a large college campus revealed that 38% had refrigerators, 52% had TVs, and 21% had both a TV and a fridge What’s the probability that a randomly selected dorm room has:

Prior to graduation a high school class was surveyed about their plans. The table below displays the results for white and minority students. a)What percent of the graduates are white? b)What percent of the graduates are planning to attend a 2-year college? c)What percent of the graduates are minority or planning to attend a 4-year college?

Prior to graduation a high school class was surveyed about their plans. The table below displays the results for white and minority students. Give the conditional distributions of plans for white and minority students. Making Connections… White: 4-year college: 74% 2-year college: 13% Military: 2% Employment: 5% Other: 6% Minority: 4-year college: 77% 2-year college: 11% Military: 2% Employment: 5% Other: 5%

Conditional Probabilities A probability that takes into account a given condition is called a conditional probability This is written as P(A|B) and read as ‘the probability of A given B.

Prior to graduation a high school class was surveyed about their plans. The table below displays the results for white and minority students. a) What percent of the white graduates are planning to attend a 2-year college? b)What percent of the minority graduates are planning to attend a 4-year college? c)What percent of the graduates pursuing the military are white? d)What percent of the graduates pursuing a 4-year college are minority?

Note: P(A) cannot equal 0, since we know that A has occurred. More Formally…

General Multiplication Rule P(A and B) = P(A) x P(B|A) Note: There’s nothing special about which one we write as A or B, so P(A and B) = P(B) x P(A|B)

Replacement… or not Sampling without replacement means that once one individual is drawn it doesn’t go back into the pool. Drawing without replacement is just another instance of working with conditional probabilities.

POD #5212/6/ #5p 1.P(Satisfied) = ? 2.P(Male OR Not Satisfied) = ? 3.P(Satisfied | Female) = ? 4.P (Male AND Satisfied) = ?

Example A junk box in your room contains a dozen old batteries, five of which are totally dead. You start picking batteries one at a time and testing them. Find the probability of each outcome. a. The first two you choose are both good. b. The first four you pick all work. c. You have to pick 5 batteries in order to find one that works. d. At least one of the first three works.

Working with the Formulas An aerospace company has submitted bids on two separate federal defense contracts A and B. The company feels that it has a 60% chance of winning contract A and a 30% chance of winning contract B. Given that it wins contract B, the company believes it has an 80% chance of winning contract A. P(A) = 0.6 P(B) = 0.3 P(A|B) = 0.8 a. What is the probability that the company will win both contracts? P(A and B) = P(B) x P(A|B) P(A and B) = 0.3 x 0.8 = 0.24 b. What is the probability that the company will win at least one of the two contracts? (That means A OR B) P(A or B) = P(A) + P(B) – P(A and B) P(A or B) = – 0.24 = 0.66

Vocab Alert… The “rules” rely on two important ideas… Disjoint events (Mutually Exclusive) - No overlap in the circles… the events do not occur together… P(A and B) = 0 Independent events - Event A does not affect Event B

Disjoint??? A university requires its biology majors to take a course called BioResearch. The prerequisite for this course is that students must have taken either a Stat course or a computer course. By the time they are juniors, 52% of Biology majors have take Stat, 23% a computer course, and 7% both. Are taking these two courses disjoint events? Explain. Not disjoint – you can take both courses

Independent??? A university requires its biology majors to take a course called BioResearch. The prerequisite for this course is that students must have taken either a Stat course or a computer course. By the time they are juniors, 52% of Biology majors have take Stat, 23% a computer course, and 7% both. Are taking these two courses independent events? In other words… does taking a computer course CHANGE your probability of taking a stat course?

Independent??? How can we tell??? A university requires its biology majors to take a course called BioResearch. The prerequisite for this course is that students must have taken either a Stat course or a computer course. By the time they are juniors, 52% of Biology majors have take Stat, 23% a computer course, and 7% both If you took computers, what’s the chance of stat??? General chance of taking a stat course??? Since computers did affect your chances of stat, these are Dependent Events!!!! 52% 30%

Formal Independence The Rule… Events A and B are independent whenever P(B|A) = P(B). (Again, note that it does not matter which event is A and which is B.)

Independent??? How can we tell??? A university requires its biology majors to take a course called BioResearch. The prerequisite for this course is that students must have taken either a Stat course or a computer course. By the time they are juniors, 52% of Biology majors have take Stat, 23% a computer course, and 7% both P(B|A) = P(B) P(Stat|Computer) = P(Stat) 30% = 52%

Disjoint vs. Independence In the real estate ads, 64% of homes have garages, 21% have swimming pools, and 17% have both features. a) Are having a garage and a pool disjoint events? Not disjoint – you can have both

Disjoint vs. Independence In the real estate ads, 64% of homes have garages, 21% have swimming pools, and 17% have both features. b) Are having a garage and a pool independent events? Dependent Events!!!! P(B|A) = P(B) P(Garage|Pool) = P(Garage) 81% = 64%

POD #5312/7/ #2ab

I am NOT your mother!!! -If you get it out, put it back where you got it -If you make a mess, clean it up -If you write on your desk, erase it (we now have washcloths – use them!)

Disjoint or Not… AceHearts Not Disjoint AceKing Disjoint

Rolling Dice… Roll a 6 P(A)= Not a 6 P(B)= Roll a 6 P(A|A)= Not a 6 P(B|A)= Roll a 6 P(A|B)= Not a 6 P(B|B)=

Drawing Cards… Ace P(A)= Not Ace P(B)= Ace P(A|A)= Not Ace P(B|A)= Ace P(A|B)= Not Ace P(B|B)=

Tree Diagrams A tree diagram helps us think through conditional probabilities by showing sequences of events as paths that look like branches of a tree.

Dan’s Diner employs three dishwashers. Al washes 40% of dishes and breaks only 1%. Betty and Chuck each wash 30% with Betty breaking only 1% and Chuck breaking 3% of his. You go to Dan’s for supper and hear a dish break at the sink. What’s the probability that Chuck is on the job?

A private college report contains these stats: 70% of incoming Freshmen attended public schools. 75% of public school students who enroll as freshmen eventually graduate. 90% of other freshmen eventually graduate. What percent of freshmen eventually graduate? What percent of students who graduate from college attended a public high school?

What can go wrong?  Don’t use the wrong formula! Many people use the simple rules from Ch 14 when they should use the general rules. They (incorrectly) assume the events are disjoint or independent when they are not.  Watch out for replacement! When dealing with small populations, your denominator will change!  P(B|A) is NOT the same as P(A|B)  Disjoint does NOT mean Independent!