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La Vergne : ASQ Quality Press, 2017

1 online resource (591 pages)

ISBN 9780873899987 (electronic bk.)

ISBN 9780873899574

Print version: McShane-Vaughn, Mary The Probability Workbook La Vergne : ASQ Quality Press,c2017 ISBN 9780873899574

Cover -- Title Page -- CIP data -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Chapter 1: Introduction -- Chapter 2: Learning to Count -- 2.1 Enumeration -- 2-1 Games Sum of Two Dice -- 2-2 Configurations Birth Order -- 2-3 Inspection Fan Assemblies -- 2-4 Games Coin Toss -- 2-5 Games Coin, Die, and Card Suit -- 2-6 Famous Problems The Lady Tasting Tea -- 2-7 Baseball World Series -- 2-8 Configurations The Seating Chart Conundrum -- 2-9 Travel Itineraries -- 2-10 Famous Problems Einstein’s Riddle -- 2.2 Factorials -- 2-11 Configurations Arranging Symbols -- 2-12 Configurations Choosing Passwords -- 2-13 Configurations Inspection -- 2-14 Travel Travelling Salesman -- 2-15 Configurations Designing Experiments -- 2-16 Theorems Sterling’s Formula -- 2-17 Ranking Automobiles -- 2.3 Permutations -- 2-18 Ranking Divisions -- 2-19 Configurations Arranging Letters -- 2-20 Lottery Daily Numbers Game -- 2-21 Configurations Inspection -- 2.4 Combinations -- 2-22 Elections School Board -- 2-23 Inspection Fan Assemblies -- 2-24 Inspection Packages -- 2-25 Application Practice Symmetry -- 2-26 Application Practice Symmetry -- 2-27 Lottery Daily Numbers Game -- 2-28 Famous Problems Pascal’s Triangle -- 2-29 Configurations Pizza Toppings -- 2.5 More Problems -- 2-30 Travel Travelling Salesman -- 2-31 Application Practice Combinations and Permutations -- 2-32 Configurations License Plates -- 2-33 Configurations License Plates -- 2-34 Configurations Telephone Numbers -- 2-35 Configurations Arranging Letters -- 2-36 Configurations Arranging Letters -- 2-37 Travel Road Trip -- 2-38 Healthcare Blood Types -- 2-39 Lottery State Lottery -- 2-40 Lottery Pick 5 -- 2-41 Configurations Birth Order -- 2-42 Configurations Arranging Boxes -- 2-43 Inspection Tensile Test -- 2-44 Configurations Automobile -- 2-45 Configurations Birth Order.

2-46 Application Practice Symmetry -- 2-47 Application Practice Symmetry -- 2-48 Configurations Nucleic Acid -- 2-49 Configurations Yogurt Shop -- 2-50 Configurations Choosing a Committee -- 2-51 Configurations Window Display -- 2-52 Configurations Lining Up -- 2-53 Application Practice Common Factorials -- 2-54 Poker Hands Royal Flush -- 2-55 Poker Hands Two Hearts -- 2-56 Poker Hands One Pair -- 2-57 Poker Hands Two Pair -- 2-58 Poker Hands Four of a Kind -- Chapter 3: The Rules of the Game -- 3.1 Types of Data -- 3-1 Application Practice Data Types -- 3.2 Sampling -- 3-2 Sampling Methods -- 3-3 Sampling Pallets -- 3-4 Sampling U.S. Congress -- 3-5 Sampling Audit -- 3-6 Sampling The Bootstrap -- 3.3 Graphical Displays of Data -- 3-7 Graphs Histogram -- 3-8 Graphs Histogram -- 3-9 Graphs Histogram -- 3-10 Graphs Box-and-Whisker Plot -- 3-11 Graphs Box-and-Whisker Plot -- 3-12 Graphs Stem-and-Leaf Plot -- 3-13 Graphs Stem-and-Leaf Plot -- 3-14 Graphs Stem-and-Leaf Plot, Histogram -- 3-15 Graphs Dot Plot -- 3.4 Events, Trials, and Outcomes -- 3-16 Games Coin Toss -- 3-17 Configurations Birth Order -- 3-18 Inspection Fan Assemblies -- 3-19 Games Last Banana -- 3.5 Classical versus Empirical Probability -- 3-20 Application Practice Classical versus Empirical Probability -- 3-21 Poker Hands Royal Flush -- 3-22 Poker Hands Straight Flush -- 3-23 Poker Hands Flush -- 3-24 Poker Hands Three of a Kind -- 3-25 Simulation Bank Wait Times -- 3-26 Games Cards -- 3.6 Unions and Intersections -- 3-27 Sets Union, Intersection -- 3-28 Graphs Venn Diagram -- 3-29 Hospitality and Tourism Venn Diagram -- 3.7 Complement Rule -- 3-30 Games Die Toss -- 3-31 Inspection Yield -- 3-32 Poker Hands At Least One Pair -- 3.8 Independence -- 3-33 Application Practice Independence -- 3-34 Application Practice Independence -- 3-35 Application Practice Independence.

3-84 Healthcare Disease Screening -- 3-85 Healthcare Disease Screening, Continued -- 3-86 Famous Problems Birthday Problem -- 3-87 Famous Problems Birthday Problem -- 3-88 Famous Problems Birthday Problem -- 3-89 Famous Problems The Monty Hall Problem -- 3-90 Famous Problems The Monty Hall Problem -- 3-91 Famous Problems The Monty Hall Problem -- 3-92 Famous Problems People v. Collins -- 3-93 Famous Problems Prosecutor’s Fallacy -- 3-94 Famous Problems The Prisoner’s Problem -- 3-95 Famous Problems Simpson’s Paradox -- Chapter 4: Discrete Probability Distribution Problems -- 4.1 Probability Concepts for Discrete Random Variables -- 4-1 Probability Mass Function Definition -- 4-2 Games Sum of Two Dice -- 4-3 Games Sum of Two Dice -- 4-4 Games Coin Toss -- 4-5 Games Coin Toss -- 4-6 Probability Mass Function Definition -- 4-7 Probability Mass Function Definition -- 4-8 Games Die and Coin -- 4-9 Graphs Probability Mass Function -- 4-10 Famous Problems The Lady Tasting Tea -- 4-11 Famous Problems Zipf’s Law -- 4-12 Famous Problems Benford’s Law -- 4-13 Expectation Probability Mass Function -- 4-14 Expectation Skewness and Kurtosis -- 4-15 Lottery Mega Millions -- 4-16 Expectation Bias and Variance of Estimators -- 4-17 Expectation Linear Combinations -- 4-18 Graphs Leptokurtic and Platykurtic -- 4-19 Graphs Kurtosis -- 4-20 Games Game Theory -- 4-21 Business Bid Pricing -- 4-22 Sampling Composite Samples -- 4-23 Expectation Expected Winnings -- 4-24 Games Sum of Two Dice -- 4-25 Games Sum of Two Dice -- 4-26 Application Practice Linear Combinations -- 4-27 Application Practice Linear Combinations -- 4-28 Business FICO Scores -- 4-29 Theorems Change of Variables -- 4-30 Theorems Change of Variables -- 4-31 Application Practice Cumulative Probability -- 4.2 The Discrete Uniform Distribution -- 4-32 Probability Mass Function Formula.

4-75 Inspection Acceptance Sampling.

3-36 Yield Throughput Yield -- 3.9 Mutually Exclusive Events -- 3-37 Application Practice Mutually Exclusive -- 3-38 Application Practice Mutually Exclusive Events -- 3.10 Calculating Odds -- 3-39 Predictions Horse Racing -- 3-40 Predictions Weather -- 3-41 Elections Prediction -- 3-42 Games Coin, Die, and Card Suit -- 3.11 Conditional Probability -- 3-43 Inspection Pallets -- 3-44 Healthcare Blood Types -- 3-45 Games Sum of Two Dice -- 3-46 Games Sum of Two Dice -- 3-47 Sampling Socks in a Drawer -- 3-48 Healthcare Incidence of Lung Cancer -- 3-49 Business Venn Diagram -- 3-50 Lottery Mega Millions -- 3-51 Lottery Logic -- 3-52 Inspection Acceptance Sampling -- 3-53 p-Value Statistics -- 3.12 Multiplication Rule -- 3-54 Inspection Supplier Quality -- 3-55 Business Human Resources -- 3-56 Certification Testing -- 3-57 Certification Testing -- 3-58 Famous Problems The Lady Tasting Tea -- 3-59 Baseball World Series -- 3-60 Baseball World Series -- 3-61 Famous Problems The Problem of Points -- 3-62 Famous Problems The Problem of Points -- 3.13 Addition Rule -- 3-63 Games Sum of Two Dice -- 3-64 Hospitality and Tourism Marketing -- 3-65 Hospitality and Tourism Marketing -- 3.14 Law of Total Probability and Bayes’ Theorem -- 3-66 Inspection Glass Panels -- 3-67 Healthcare Hospital Admissions -- 3-68 Famous Problems The Strange Three Boxes -- 3-69 Healthcare Diagnostic Tests -- 3-70 Business Human Resources -- 3.15 More Problems -- 3-71 Lottery Mega Millions -- 3-72 Lottery Mega Millions -- 3-73 Lottery Mega Millions -- 3-74 Lottery Mega Millions -- 3-75 Lottery Mega Millions -- 3-76 Poker Hands Royal Flush -- 3-77 Elections Prediction -- 3-78 Elections Prediction -- 3-79 Sampling Socks in a Drawer -- 3-80 Sampling Socks in a Drawer -- 3-81 Inspection Parts in a Bin -- 3-82 Inspection Misclassification -- 3-83 Inspection Weld Integrity.

4-33 Application Practice Probability Mass Function -- 4-34 Application Practice Probability Mass Function -- 4-35 Expectation Discrete Uniform -- 4.3 The Binomial Distribution -- 4-36 Probability Mass Function Definition -- 4-37 Probability Mass Function Formula -- 4-38 Graphs Matching Distributions -- 4-39 Application Practice Probability Statement -- 4-40 Reliability Stress Test -- 4-41 Expectation Mean and Variance -- 4-42 Healthcare Emergency Department -- 4-43 Business Bank Loans -- 4-44 Statistical Process Control Go/No-Go -- 4-45 Statistical Process Control Go/No-Go -- 4-46 Statistical Process Control Electrical Switches -- 4-47 p-Value Stress Genes -- 4-48 Famous Problems The Problem of Points -- 4-49 Famous Problems The Lady Tasting Tea -- 4-50 Simulation Generating Binomial Observations -- 4-51 Statistical Process Control Deming’s Red Bead Experiment -- 4-52 Simulation Project Deming’s Red Bead Experiment Part 1 -- 4-53 Simulation Project Deming’s Red Bead Experiment Part 2 -- 4-54 Simulation Project Deming’s Red Bead Experiment Part 3 -- 4.4 The Multinomial Distribution -- 4-55 Probability Mass Function Formula -- 4-56 Inspection Motors -- 4-57 Inspection Candy Colors -- 4-58 Elections Prediction -- 4-59 Hospitality and Tourism Airline Seats -- 4-60 Inspection Incoming Material -- 4-61 Academia Engineering Majors -- 4-62 Sampling The Bootstrap -- 4-63 Sampling The Bootstrap -- 4.5 The Hypergeometric Distribution -- 4-64 Probability Mass Function Formula -- 4-65 Probability Mass Function Domain -- 4-66 Probability Mass Function Domain -- 4-67 Graphs Matching Distributions -- 4-68 Expectation Mean and Variance -- 4-69 Application Practice Egg Problem -- 4-70 Games Cards -- 4-71 Inspection Acceptance Sampling -- 4-72 Healthcare Blood Types -- 4-73 Approximation Binomial-Hypergeometric -- 4-74 Approximation Binomial-Hypergeometric.

001935049

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(Au-PeEL)EBL7158859

(MiAaPQ)EBC7158859

(OCoLC)1356002872