Chapter 11 (Quality Improvement) stresses how important W. Edwards Deming's ideas are in understanding variation and how they apply to everyday life. TABLE OF CONTENTS: Preface Prologue 1. Probability 1. 1 Basic Concepts 1. 2 Properties of Probability 1. 3 Methods of Enumeration 1. 4 Conditional Probability 1. 5 Independent Events 1. 6 Bayes's Theorem 2. Discrete Distributions 2. 1 Random Variables of the Discrete Type 2. 2 Mathematical Expectation 2. 3 The Mean, Variance, and Standard Deviation 2. 4 Bernoulli Trials and the Binomial Distribution 2. 5 The Moment-Generating Function 2. 6 The Poisson Distribution 3. Continuous Distributions 3. 1 Continuous-Type Data 3. 2 Exploratory Data Analysis 3. 3 Random Variables of the Continuous Type 3. 4 The Uniform and Exponential Distributions 3. 5 The Gamma and Chi-Square Distributions 3. 6 The Normal Distribution 3. 7 Additional Models 4. Bivariate Distributions 4. 1 Distributions of Two Random Variables 4. 2 The Correlation Coefficient 4. 3 Conditional Distributions 4.
Not for application oriented. Better suited for math majors Published by User, 16 years ago I disagree with others on this one. The book is perhaps a little dry for non-mathematically oriented. If you are a math major this book will work out fine. Sometimes however, some of us who start out as math majors at the undergrad level will come to a point where we realize pure math is no longer our forte. I suppose that is when applied fields like engineering, economics or finance start looking more promising than mathematics. This distinction is however an important one. If you are into applied fields, the emphasis is on learning what methods to use and being able to solve the equations well. Theories, proofs and analysis are often nice and may be even elegant. But most likely they are an over kill. Tools and techniques are what are going to save the day. If you find yourself in this group, this book is not an easy read. I think there are excellent alternatives for those looking for books with better examples, illustrations etc., I am planning to continue in math/statistics beyond college level.
They don't provide the reader with an exact problem they're trying to solve. It simply starts with equations, then ends with equations, and doesn't provide the reader any sense of what is going on or why. Had to find an online version of the course, which provided much better explanations of the book and the concepts within. Reviewed in the United States on July 26, 2016 Verified Purchase While it has all the content that it says it does, the author is too wrapped up in giving examples and specific applications of the theorems that he fails to make the theorems and reasoning for them immediately obvious. What he should have done is: X -> Why X works -> example for X. Instead, he goes: Example for X -> an overly short description of X. You can still learn from it, but it's more useful for the practice problems than actually learning the material. Reviewed in the United States on October 13, 2020 Verified Purchase I bought this textbook to help review for a FAANG data scientist interview.
Reviewed in the United States on January 21, 2018 Verified Purchase I can't speak much for the informative content of the book, since I have a different probability book that I like better. However, for my class, homework is assigned from the end of the section exercises, and while everything ELSE in this global edition of this textbook seems to be the same, some of the end of section exercises are different. Not by much... for example, section 1. 3 # 4... The normal edition has you picking two cards and the global edition has you picking three... The first two cards you choose are the same, but that doesn't really matter, because I can tell you that graders don't care if you give them correct answers to the wrong questions. If you will be assigned problems from this book as homework, save yourself the money and hassle and get the normal hardcover book. Textbook companies disgust me. Yes, I'm talking about you, Pearson. Reviewed in the United States on March 20, 2015 Verified Purchase Examples in the chapters don't explain each step of the solution.
Select Format Select Condition What I expected. Published by User, 11 years ago It took a while on shipping, which was unfortunate because it was for a class, but the delivery still was not outside the bounds of the expected delivery time. Good reference book Published by User, 12 years ago It's the text book for a prerequisite class for our Statistics graduate program. This book introduces essential theories in Statistics. If you review some calculus and algebra, you will be find go through the book and the more you read the more you get from this book. I've read it three times and tried its examples. This book is not the most difficult one in Statistics yet but if you are not a math major, you may want to try something else. a worthy revision Published by User, 15 years ago The 7th edition of this textbook represents a great revision of this old favorite: a separate chapter on the normal distribution and a new chapter on Bayesian statistics. Lots of new problems too. It seems like a lot of the reviews are from bitter students... yes, a course using this text requires a lot of math, but that is the only way you can fully understand probability and statistics!
The pages are so thin that it feels like they are going to rip off at any time. For a book that costs almost £60, this is unacceptable. 5. 0 out of 5 stars Five Stars Reviewed in the United Kingdom on October 25, 2017 Verified Purchase 1. 0 out of 5 stars Purchase has gone almost a waste, as I do not read books on Tablets/... Reviewed in India on April 10, 2017 Verified Purchase While I bought this product on KINDLE; I failed to notice (NOT DIRECTLY MENTIONED on product page) it is NOT AVAILABLE on Windows 8. 0. Purchase has gone almost a waste, as I do not read books on Tablets/ Handsets (only short articles or websites or small PDF docs are read). -Rahul Excellent shipping and product Reviewed in Canada on September 8, 2018 Verified Purchase The book was new and well maintained!! It arrived to my home very fast.
He taught at Hope for 35 years and in 1989 received the HOPE Award (Hope's Outstanding Professor Educator) for his excellence in teaching. In addition to his academic interests, Dr. Tanis is also an avid tennis player and devoted Hope sports fan. "About this title" may belong to another edition of this title.
Hogg And Tanis Probability Statistical Inference 8th Edition