Chapter 171 Thinking About Chance. Chapter 172 Thought Question 1 Here are two very different probability questions: If you roll a 6-sided die and do.

Slides:



Advertisements
Similar presentations
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Advertisements

Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
Probability Unit 3.
1-1 Copyright © 2015, 2010, 2007 Pearson Education, Inc. Chapter 13, Slide 1 Chapter 13 From Randomness to Probability.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
From Randomness to Probability
MM207 Statistics Welcome to the Unit 7 Seminar Prof. Charles Whiffen.
Sherlock Holmes once observed that men are insoluble puzzles except in the aggregate, where they become mathematical certainties.
AP Statistics Section 6.2 A Probability Models
How can you tell which is experimental and which is theoretical probability? You tossed a coin 10 times and recorded a head 3 times, a tail 7 times.
1 Business Statistics - QBM117 Assigning probabilities to events.
Probability.
Uncertainty in Life.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
Special Topics. Definitions Random (not haphazard): A phenomenon or trial is said to be random if individual outcomes are uncertain but the long-term.
Copyright ©2005 Brooks/Cole, a division of Thomson Learning, Inc. Understanding Probability and Long-Term Expectations Chapter 16.
Copyright ©2005 Brooks/Cole, a division of Thomson Learning, Inc. Understanding Probability and Long-Term Expectations Chapter 16.
Unit 5: Probability Sample Space.
1-1 Copyright © 2015, 2010, 2007 Pearson Education, Inc. Chapter 13, Slide 1 Chapter 13 From Randomness to Probability.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 5 Section 1 – Slide 1 of 33 Chapter 5 Section 1 Probability Rules.
Probability Rules!. ● Probability relates short-term results to long-term results ● An example  A short term result – what is the chance of getting a.
● Uncertainties abound in life. (e.g. What's the gas price going to be next week? Is your lottery ticket going to win the jackpot? What's the presidential.
Understanding Probability and Long-Term Expectations Example from Student - Kalyani Thampi I have an example of "chance" that I thought about mentioning.
From Randomness to Probability
Math 15 – Elementary Statistics Sections 7.1 – 7.3 Probability – Who are the Frequentists?
BPS - 5th Ed. Chapter 101 Introducing Probability.
Chapter 5.1 Probability Distributions.  A variable is defined as a characteristic or attribute that can assume different values.  Recall that a variable.
Probability Part 3 – What is Probability?. Probability Warm-up How many ways can a dinner patron select 3 appetizers and 2 vegetables if there are 6 appetizers.
Copyright © 2010 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
Lesson Probability Rules. Objectives Understand the rules of probabilities Compute and interpret probabilities using the empirical method Compute.
Essential Statistics Chapter 91 Introducing Probability.
Copyright © 2010 Pearson Education, Inc. Unit 4 Chapter 14 From Randomness to Probability.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 14 From Randomness to Probability.
CHAPTER 10 Introducing Probability BPS - 5TH ED.CHAPTER 10 1.
Chapter 10 Introducing Probability BPS - 5th Ed. Chapter 101.
5.1 Probability in our Daily Lives.  Which of these list is a “random” list of results when flipping a fair coin 10 times?  A) T H T H T H T H T H 
From Randomness to Probability Chapter 14. Dealing with Random Phenomena A random phenomenon is a situation in which we know what outcomes could happen,
PROBABILITY IN OUR DAILY LIVES
Please turn off cell phones, pagers, etc. The lecture will begin shortly. There will be a very easy quiz at the end of today’s lecture.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 5: Probability: What are the Chances? Section 5.1 Randomness, Probability,
BPS - 3rd Ed. Chapter 91 Introducing Probability.
Randomness, Probability, and Simulation
A General Discussion of Probability Some “Probability Rules” Some abstract math language too! (from various internet sources)
BPS - 5th Ed. Chapter 101 Introducing Probability.
1 Chapter 10 Probability. Chapter 102 Idea of Probability u Probability is the science of chance behavior u Chance behavior is unpredictable in the short.
Aim: What is the importance of probability?. What is the language of Probability? “Random” is a description of a kind of order that emerges in the long.
Probability Class Causation and Probability We are interested in finding the effect of Dr. Wong’s exploring teaching methodology on the statistics.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
Copyright © 2010 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
Copyright © 2011 Pearson Education, Inc. Probability: Living with the Odds Discussion Paragraph 7B 1 web 59. Lottery Chances 60. HIV Probabilities 1 world.
The Practice of Statistics Third Edition Chapter 6: Probability and Simulation: The Study of Randomness 6.1 Simulation Copyright © 2008 by W. H. Freeman.
Statistics 14 From Randomness to Probability. Probability This unit will define the phrase “statistically significant This chapter will lay the ground.
AP Statistics From Randomness to Probability Chapter 14.
STAT 1301 Introduction to Probability. Statistics: The Science of Decision Making in the Face of Uncertainty l Uncertainty makes life challenging and.
AP STATISTICS LESSON THE IDEA OF PROBABILITY.
Basic Practice of Statistics - 3rd Edition Introducing Probability
From Randomness to Probability
From Randomness to Probability
5.1 Probability of Simple Events
PROBABILITY The probability of an event is a value that describes the chance or likelihood that the event will happen or that the event will end with.
From Randomness to Probability
From Randomness to Probability
Probability: Living with the Odds
Basic Practice of Statistics - 3rd Edition Introducing Probability
Warm Up 1) A t-shirt company makes shirts in sizes S, M, L, XL and XXL and in the colors chartreuse, burgundy, fuchsia and mauve. How many different types.
Basic Practice of Statistics - 3rd Edition Introducing Probability
From Randomness to Probability
Statistics and Probability-Part 5
From Randomness to Probability
Basic Practice of Statistics - 5th Edition Introducing Probability
Presentation transcript:

Chapter 171 Thinking About Chance

Chapter 172 Thought Question 1 Here are two very different probability questions: If you roll a 6-sided die and do it fairly, what is the probability that it will land with “3” showing? What is the probability that in your lifetime you will travel to a foreign country other than one you have already visited? For which question was it easier to provide a precise answer? Why? For which one could we all agree?

Chapter 173 Thought Question 2 (from Seeing Through Statistics, 1st Edition, by J. M. Utts, p. 253) Which of the following more closely describes what it means to say that the probability a tossed coin lands with heads up is 1/2? As the number of tosses increases, the fraction of heads will get closer and closer to 1/2. The number of heads tossed will always be close to half of the number of tosses.

Chapter 174 Thought Question 3 What is wrong with the following partial answer to TQ #1: “The probability that I will eventually travel to another foreign country (or of any other particular event happening) is 1/2, because either it will happen or it won’t.”

Chapter 175 Thought Question 4 A news article claimed that the risk of a relapse when quitting smoking “cold turkey” is five times the risk when using a nicotine patch to quit. Assume this statistic was based on legitimate, well-conducted research. What additional information would you want about the risks before deciding which of the two methods to use to quit smoking?

Chapter 176 Thought Question 5 A study of past semesters shows that the relative risk of failing this class if you do not do your homework, as compared to if you do, is What is meant by the term relative risk? Hint: (TQ #4) The relative risk of a relapse when quitting smoking “cold turkey” as compared to using the nicotine patch is 5.

Chapter 177 Two Concepts of Probability u Personal-Probability Interpretation –The degree to which a given individual believes the event in question will happen –Personal belief u Relative-Frequency Interpretation –The proportion of time the event in question occurs over the long run –“Long-run relative frequency”

Chapter 178 Relative-Frequency Probabilities u Two ways to determine: –Physical assumptions (theoretical mathematical model) –Repeated observations (empirical results) v Experience with many samples v Simulation

Chapter 179 Relative-Frequency Probabilities: Summary u Can be applied when the situation can be repeated numerous times (conceptually) and the outcome can be observed each time. u Relative frequency (proportion of occurrences) of an outcome settles down to one value over the long run. That one value is then defined to be the probability of that outcome. u The probability cannot be used to determine whether or not the outcome will occur on a single occasion, or in a single sample (it is a long-run phenomenon).

Chapter 1710 Personal or Relative Frequency Probabilities? u The probability that a lottery ticket will be a winner. u The probability that you will get a B in this course. u The probability that a randomly selected student in one of your professor’s classes will get a B. u The probability that the 7 a.m. flight from San Francisco to New York will be on time on a randomly selected day. u The probability that the Atlanta Braves professional baseball team will win the World Series in the year 2015.

Chapter 1711 Risk and Relative Risk Case Study The following table gives results for whether or not subjects were still smoking when given a nicotine patch or a placebo:

Chapter 1712 Relative Risk u Risk of continuing to smoke –Nicotine:.533 (just the proportion from the table) –Placebo:.800 u Relative risk of continuing to smoke when using the placebo patch compared with when using the nicotine patch is 1.5 (.800/.533 = 1.5). u The risk of continuing to smoke when using the placebo patch is 1.5 times the risk when using the nicotine patch.

Chapter 1713 Cautions about Risk u What if the baseline risk is missing? –The relative risk means “relative” to what? u The reported risk is not necessarily your risk. –Are the subjects and the setting of the study representative of you and your situation?

Chapter 1714 Baseline Risk is Missing Case Study “The youngest girls [in the study], those aged 13 to 17, were 90 percent more likely than the women in their early 20’s to deliver prematurely.” u The relative risk was 1.9. u But what is the absolute risk for women in their 20’s which is used as the baseline? Premature-birth Risk Found Higher for Teens (reported in the Sacramento Bee, April 27, 1995, p. A7)

Chapter 1715 Reported Risk May Not Be Your Risk Case Study u The greater risk may be due to lack of support from the father rather than the age of the girl. u If you are a pregnant teenage girl with plenty of support from the father, this risk may not apply to you. Premature-birth Risk Found Higher for Teens (reported in the Sacramento Bee, April 27, 1995, p. A7)

Chapter 1716 Key Concepts u Personal probability u Long-run Relative Frequency interpretation of probability u Relative Risk and cautious interpretation