Schaum's Easy Outline of Probability and Statistics, Revised Edition / Edition 1

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Overview

If you are looking for a quick nuts-and-bolts overview, turn to Schaum's Easy Outlines!

Schaum's Easy Outline of Probability and Statistics is a pared-down, simplified, and tightly focused review of the topic. With an emphasis on clarity and brevity, it features a streamlined and updated format and the absolute essence of the subject, presented in a concise and readily understandable form. Graphic elements such as sidebars, reader-alert icons, and boxed highlights stress selected points from the text, illuminate keys to learning, and give you quick pointers to the essentials.

  • Expert tips for mastering probability and statistics
  • Last-minute essentials to pass the course
  • Coverage of all course fundamentals
  • Easy to understand methodology
  • Clear, concise explanations of all probability and statistics concepts
  • Appropriate for the following courses: Introduction to Probability & Statistics, Probability, Business Statistics, Basic Statistics, and Beginning Statistics
  • Easily understood review of basic probability and statistics principles
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Product Details

  • ISBN-13: 9780071777513
  • Publisher: McGraw-Hill Professional Publishing
  • Publication date: 11/18/2011
  • Series: Schaum's Easy Outlines Series
  • Edition description: Revised
  • Edition number: 1
  • Pages: 160
  • Sales rank: 655,294
  • Product dimensions: 5.40 (w) x 8.40 (h) x 0.50 (d)

Meet the Author

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

R. Alu Srinivasan is a professor of mathematics at Temple University. He received his Ph.D. at Wayne State University and has published extensively in probability and statistics.

The late Murray R. Spiegel was professor and chairman of mathematics at the Rensselaer Polytechnic Institute, Hartford Graduate Center, in Troy, New York. During his career, he held positions at Harvard University, Cornell University, and Oak Ridge. He was the author of numerous journal articles and 14 books on various topics in mathematics.

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Table of Contents

Chapter 1 Basic Probability 1

Chapter 2 Descriptive Statistics 14

Chapter 3 Discrete Random Variables 23

Chapter 4 Continuous Random Variables 34

Chapter 5 Examples of Random Variables 42

Chapter 6 Sampling Theory 58

Chapter 7 Estimation Theory 75

Chapter 8 Test of Hypothesis and Significance 85

Chapter 9 Curve Fitting, Regression, and Correlation 99

Chapter 10 Other Probability Distributions 117

Appendix A Mathematical Topics 132

Appendix B Areas under the Standard Normal Curve from 0 to z 136

Appendix C Student's t distribution 138

Appendix D Chi-Square Distribution 140

Appendix E 95th and 99th Percentile Values for the F Distribution 142

Appendix F Values of e 146

Appendix G Random Numbers 148

Index 149

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