Chapter 17 Thinking about Chance.

Slides:



Advertisements
Similar presentations
6.1 Simulation Probability is the branch of math that describes the pattern of chance outcomes It is an idealization based on imagining what would happen.
Advertisements

Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Chapter 17 STA 200 Summer I Flipping Coins If you toss a coin repeatedly, you expect it to come up heads half the time. Suppose you toss a coin.
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Mathematics in Today's World
Analyze the Data.  What did we learn from the data?  Does this sample convince you that more than half of all customers at this store are female? 
SECTION 4.1 BASIC IDEAS Copyright ©2014 The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
AP Statistics Section 6.2 A Probability Models
Probability - 1 Probability statements are about likelihood, NOT determinism Example: You can’t say there is a 100% chance of rain (no possibility of.
3.6: Probabilities Through Simulations Objective: To simulate probabilities using random number tables and random number generators CHS Statistics.
1 Business Statistics - QBM117 Assigning probabilities to events.
Probability.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
Section The Idea of Probability Statistics.
Bell Work: Factor x – 6x – Answer: (x – 8)(x + 2)
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 5 Section 1 – Slide 1 of 33 Chapter 5 Section 1 Probability Rules.
From Randomness to Probability
Math 15 – Elementary Statistics Sections 7.1 – 7.3 Probability – Who are the Frequentists?
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Copyright © 2014 Pearson Education, Inc. All rights reserved Chapter 5 Modeling Variation with Probability.
Created by Tom Wegleitner, Centreville, Virginia Section 3-6 Probabilities Through Simulations.
Chapter 9 Review. 1. Give the probability of each outcome.
The Cosmic Ray Observatory Project High Energy Physics Group The University of Nebraska-Lincoln Counting Random Events A “fair” coin is flipped at the.
Journal: 1)Suppose you guessed on a multiple choice question (4 answers). What was the chance that you marked the correct answer? Explain. 2)What is the.
The Wonderful World… of Probability. When do we use Probability?
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 
5.1 Randomness  The Language of Probability  Thinking about Randomness  The Uses of Probability 1.
How likely is it that…..?. The Law of Large Numbers says that the more times you repeat an experiment the closer the relative frequency of an event will.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 5 Section 2 – Slide 1 of 21 Chapter 5 Section 2 The Addition Rule and Complements.
Simulating Experiments Introduction to Random Variable.
Claim 1 Smarter Balanced Sample Items Grade 7 - Target I
Introduction to Probability – Experimental Probability.
1 Chapter 4, Part 1 Basic ideas of Probability Relative Frequency, Classical Probability Compound Events, The Addition Rule Disjoint Events.
A General Discussion of Probability Some “Probability Rules” Some abstract math language too! (from various internet sources)
By:Tehya Pugh. What is Theoretical Probability  Theoretical Probability Is what you predict what will happen without really doing the experiment.  I.
Unit 6 Probability & Simulation: the Study of randomness Simulation Probability Models General Probability Rules.
Section The Idea of Probability AP Statistics
Section Constructing Models of Random Behavior Objectives: 1.Build probability models by observing data 2.Build probability models by constructing.
The Practice of Statistics Third Edition Chapter 6: Probability and Simulation: The Study of Randomness 6.1 Simulation Copyright © 2008 by W. H. Freeman.
Copyright © 2016 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. B ASIC C ONCEPTS IN P ROBABILITY Section 5.1.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
Binomial Distribution (Dr. Monticino). Assignment Sheet  Read Chapter 15  Assignment # 9 (Due March 30 th )  Chapter 15  Exercise Set A: 1-6  Review.
CHAPTER 5 Probability: What Are the Chances?
Section 5.1 Day 2.
Statistics 200 Objectives:
Chapter 11 Probability.
Today is Tuesday.
Experimental Probability vs. Theoretical Probability
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
Bring a penny to class tomorrow
Brief General Discussion of Probability: Some “Probability Rules” Some abstract math language too! (from various internet sources)
Section 5.1 Basic Ideas.
Chapter Randomness, Probability, and Simulation
Status for AP Congrats! We are done with Part II of the Topic Outline for AP Statistics! (10%-15%) of the AP Test can be expected to cover topics from.
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.
Chapter 5 Probability.
Probability Trees By Anthony Stones.
Lesson 10.1 Sample Spaces and Probability
Probability.
Probability Vocabulary:
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.
WARM – UP A two sample t-test analyzing if there was a significant difference between the cholesterol level of men on a NEW medication vs. the traditional.
Brief General Discussion of Probability: Some “Probability Rules”
Brief General Discussion of Probability: Some “Probability Rules”
Section 6.1 The Idea of Probability
Probability True or False?.
Essential Statistics Introducing Probability
Calculating Probabilities
Counting and Classification (Dr. Monticino)
Chapter 11 Probability.
Presentation transcript:

Chapter 17 Thinking about Chance

Thinking about Chance 1 A random outcome Is unpredictable Has a 50/50 chance of occurrence Is haphazard Has a predictable pattern in the long term

Thinking about Chance 1 (answer) A random outcome Is unpredictable Has a 50/50 chance of occurrence Is haphazard Has a predictable pattern in the long term (correct)

Thinking about Chance 2 The probability of a random outcome is Unpredictable 1/2 Some number between 0 and 1

Thinking about Chance 2 (answer) The probability of a random outcome is Unpredictable 1/2 Some number between 0 and 1 (correct)

Thinking about Chance 3 A probability of 1 can be interpreted to mean The event has a 0.01% chance of happening The event has a 1% chance of happening The event has a 100% chance of happening

Thinking about Chance 3 (answer) A probability of 1 can be interpreted to mean The event has a 0.01% chance of happening The event has a 1% chance of happening The event has a 100% chance of happening (correct)

Thinking about Chance 4 The proportion of times a random outcome happens in a long series of repetitions is Its probability Its odds Unpredictable

Thinking about Chance 4 (answer) The proportion of times a random outcome happens in a long series of repetitions is Its probability (correct) Its odds Unpredictable

Thinking about Chance 5 A correct interpretation of the law of averages is If I roll a die 600 times, I can predict 100 2s If I roll a die many times, I can predict about 1/6 of the rolls to result in a 2 On average, half my dice rolls should result in a 2

Thinking about Chance 5 (answer) A correct interpretation of the law of averages is If I roll a die 600 times, I can predict 100 2s If I roll a die many times, I can predict about 1/6 of the rolls to result in a 2 (correct) On average, half my dice rolls should result in a 2

Thinking about Chance 6 A female college student decides which party to attend, based on the chances of a particular handsome male being present. She computed A personal probability The chances she would see the handsome male if she could repeat this night many times The probability of seeing the handsome male

Thinking about Chance 6 (answer) A female college student decides which party to attend, based on the chances of a particular handsome male being present. She computed A personal probability (correct) The chances she would see the handsome male if she could repeat this night many times The probability of seeing the handsome male

Thinking about Chance 7 True or False: A personal probability is a number between 0 and 1. TRUE FALSE

Thinking about Chance 7 (answer) True or False: A personal probability is a number between 0 and 1. TRUE (correct) FALSE

Thinking about Chance 8 True or False: The general population think an event is more risky than it actually is when they feel they have very little control. TRUE FALSE

Thinking about Chance 8 (answer) True or False: The general population think an event is more risky than it actually is when they feel they have very little control. TRUE (correct) FALSE

Thinking about Chance 9 True or False: There will be exactly 40 1s in any list of 400 digits from the table of random digits. TRUE FALSE

Thinking about Chance 9 (answer) True or False: There will be exactly 40 1s in any list of 400 digits from the table of random digits. TRUE FALSE (correct)

Thinking about Chance 10 True or False: 5 out of every 10 coin flips will result in “tails.” TRUE FALSE

Thinking about Chance 10 (answer) True or False: 5 out of every 10 coin flips will result in “tails.” TRUE FALSE (correct)

Thinking about Chance 11 Which of the following results of six coin flips is the least probable? TTTHHH TTTTTT THTHTH All are equally likely

Thinking about Chance 11 (answer) Which of the following results of six coin flips is the least probable? TTTHHH TTTTTT THTHTH All are equally likely (correct)

Thinking about Chance 12 TRUE or FALSE: If a fair coin is flipped 10 times, exactly 5 of the flips will result in “heads.” True False

Thinking about Chance 12 (answer) TRUE or FALSE: If a fair coin is flipped 10 times, exactly 5 of the flips will result in “heads.” True False (answer)