This popular problem collection is now available in paperback to be used for self study and in conjunction with basic courses in probability and statistics. Its strength lies in the originality of the problems which have been extensively tested in teaching by the author and others.
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11 of 11 people found the following review helpful:
5.0 out of 5 stars
Warmly Recommended,
By E Bruce Brooks (Northampton, MA USA) - See all my reviews
This review is from: Understanding Probability and Statistics: A Book of Problems (Paperback)
Falk gives a varied and intriguing selection of problems (with scrupulous credit to the original sources) and explains the more challenging of them in helpful detail. Classical problems in the field (Pascal, Galileo) are included along with more recent ones (the Monty Hall perplexity). The invented problems are judicious and relevant. I warmly recommend this book to self-students like myself.My one reservation is that Falk sometimes seems to introduce Bayesian "later information" considerations into problems where, by her own analysis, such information doesn't really make a difference, except on further assumptions not warranted by the problem. If so, the student's awareness of the long-running Bayesian vs Bernoullian controversy is ultimately enhanced, which is to say that the ideal reader of the book is probably an active and statistically informed student of the subject. As promised in the Preface, the mathematical requirements are kept reasonably low, and except for the multiple choice quiz in Chapters 4 and 5, the problem solving approach is followed throughout, so that the book can be read independently of a regular statistics course.
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First Sentence:
1.1.1 The following are measures characterizing the distributions of scores of two parallel English classes: a. In which of the two classes should the teacher invest more time in individual tutoring? Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
equal marginal distributions, ith draw, hope function, genetic distribution, inbreeding coefficient, linear correlation coefficient, teaching statistics, admission data Key Phrases - Capitalized Phrases (CAPs): (learn more)
Multiple-Choice Problems, Descriptive Statistics, Yaacov German, Faculty Number Admission, Number Probability, Measures Characterizing Distributions, Parade Magazine New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
1.1.1 The following are measures characterizing the distributions of scores of two parallel English classes: a. In which of the two classes should the teacher invest more time in individual tutoring? Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
equal marginal distributions, ith draw, hope function, genetic distribution, inbreeding coefficient, linear correlation coefficient, teaching statistics, admission data Key Phrases - Capitalized Phrases (CAPs): (learn more)
Multiple-Choice Problems, Descriptive Statistics, Yaacov German, Faculty Number Admission, Number Probability, Measures Characterizing Distributions, Parade Magazine New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 4
books:
2
books
cite this book:
- Hereditary Genius (Classics in Psychology) by Francis Galton on page 163
- Science and Technology (Legacies) by Julian Rowe in Back Matter
- Ask Marilyn by Marilyn Vos Savant on page 184
- Enumerative Combinatorics, Volume 2 by Richard P. Stanley in Back Matter
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