Schaum's Outline of Introduction to Probability and Statistics / Edition 1

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Overview

The ideal review for your intro to probability course

More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice.

  • 387 solved problems
  • Covers all probability fundamentals
  • No calculus needed
  • Supports and supplements the leading probability and statistics textbooks
  • Appropriate for the following courses: Introduction to Probability and Statistics, Probability, Statistics, Introduction to Statistics
  • Detailed explanations and practice problems in probability and statistics
  • Comprehensive review of specialized topics in probability and statistics
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Product Details

  • ISBN-13: 9780071762496
  • Publisher: McGraw-Hill Professional Publishing
  • Publication date: 9/7/2011
  • Series: Schaum's Outline Series
  • Edition number: 1
  • Pages: 384
  • Sales rank: 597,538
  • Product dimensions: 8.10 (w) x 10.70 (h) x 0.80 (d)

Meet the Author

Seymour Lipschutz is on the mathematics faculty of Temple University. He has taught at the Polytechnic Institute of Brooklyn and was visiting professor in the computer science department of Brooklyn College. He received his Ph.D. in 1960 at the Courant Institute of mathematical Sciences of New York University. He is the author of Schaum's Outline of Beginning Linear Algebra, Schaum's Outline of Discrete Mathematics, and Schaum's Outline of Linear Algebra.

John J. Schiller is an associate professor of mathematics at Temple University. He received his Ph.D. at the University of Pennsylvania and has published research papers in the areas of Riemann surfaces, discrete mathematics, and mathematical biology. He has also coauthored texts in finite mathematics, precalculus, and calculus.

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Table of Contents

Part I: Descriptive Statistics and Probability. Preliminary: Descriptive Statistics. Sets and Counting. Basic Probability.Conditional Probability and Independence. Random Variables. Binomial and Normal Distributions. Part II: Inferential Statistics. Sampling Distributions. Confidence Intervals for A Single Population. Hypotheses Tests for A Single Population. Inference for Two Populations.Chi-Square Tests and Analysis of Variance.

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