Schaums Outline of Statistics

Schaums Outline of Statistics

Paperback Schaum's Outlines

By (author) Murray R. Spiegel, By (author) Larry J. Stephens

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  • Publisher: Schaum Outline Series
  • Format: Paperback | 600 pages
  • Dimensions: 203mm x 272mm x 25mm | 771g
  • Publication date: 1 March 2011
  • Publication City/Country: New York
  • ISBN 10: 0071755497
  • ISBN 13: 9780071755498
  • Edition: 4, Revised
  • Edition statement: 4th Revised edition
  • Sales rank: 224,935

Product description

The ideal review for your statistics 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. 508 fully worked problems of varying difficulty 694 additional practice problems Complements or supplements the major Statistics textbooks Appropriate for the following courses: Introduction to Statistics, Elementary Statistics, Elementary Statistical Methods, Engineering Statistics, Introduction to Probability and Statistics, Mathematical Statistics, Introduction to Exploratory Data Analysis

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Author information

Murray J. Spiegel, Ph.D. (deceased) was the chairman of mathematics at Rensselaer Polytechnic Institute. Larry J. Stephens, Ph.D. is a professor of mathematics at the University of Nebraska at Omaha. He has taught statistics at the college level for more than 30 years.

Table of contents

1. Variables and Graphs 2. Frequency Distributions 3. The Mean, Median, Mode, and Other Measures of Central Tendency 4. The Standard Deviation and Other Measures of Dispersion 5. Moments, Skewness, and Kurtosis 6. Elementary Probability Theory 7. The Binomial, Normal, and Poisson Distributions 8. Elementary Sampling Theory 9. Statistical Estimation Theory 10. Statistical Decision Theory 11. Small Sampling Theory 12. The Chi-Square Test 13. Curve Fitting and the Method of Least Squares 14. Correlation Theory 15. Multiple Regression 16. Analysis of Variance 17. Nonparametric Tests 18. Analysis of Time Series 19. Statistical Process Control and Process Capability