 BROWSE
 USED
 STAFF PICKS
 GIFTS + GIFT CARDS
 SELL BOOKS
 BLOG
 EVENTS
 FIND A STORE
 800.878.7323

$18.95
New Trade Paper
Ships in 1 to 3 days
available for shipping or prepaid pickup only
Available for Instore Pickup
in 7 to 12 days
Other titles in the Dover Books on Mathematics series:
Probability: An Introductionby Samuel Goldberg
Synopses & ReviewsPublisher Comments:Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, and other key concepts and methods essential to a thorough understanding of probability. Designed for use by math or statistics departments offering a first course in probability. 360 illustrative problems with answers for half. Only high school algebra needed. Chapter bibliographies. Synopsis:Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, more. Includes 360 problems with answers for half. Synopsis:Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, more. Includes 360 problems with answers for half. Table of ContentsChapter 1 SETS
1. Examples of sets; basic notation 2. Subsets 3. Operations on sets 4. The algebra of sets 5. Cartesian product sets Chapter 2 PROBABILITY IN FINTE SAMPLE SPACES 1. Sample spaces 2. Events 3. The probability of an event 4. Some probability theorems 5. Conditional probability and compound experiments 6. Bayes' formula 7. Independent events 8. Independence of several events 9. Independent trials 10. A probability model in genetics Chapter 3 SOPHISTICATED COUNTING 1. Counting techniques and probability problems 2. Binomial coefficients Chapter 4 RANDOM VARIABLES 1. Random variables and probability functions 2. The mean of a random variable 3. The variance and standard deviation of a random variable 4 Joint probability functions; independent random variables 5. Mean and variance of sums of random variables; the sample mean 6. Covariance and correlation; sample mean (cont.) Chapter 5 BINOMIAL DISTRIBUTION AND SOME APPLICATIONS 1. Bernoulli trials and the binomial distribution 2. Testing a statistical hypothesis 3. An example of decisionmaking under uncertainty ANSWERS TO ODDNUMBERED PROBLEMS INDEX What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
Other books you might likeRelated SubjectsMetaphysics » Magic Witchcraft and Paganism Metaphysics » Wicca and Goddess Worship Science and Mathematics » Mathematics » Probability and Statistics » General Science and Mathematics » Mathematics » Probability and Statistics » Probability Theory Science and Mathematics » Mathematics » Probability and Statistics » Statistics 

