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Statistics : Crash Course

Statistics : Crash Course - 00 edition

ISBN13: 978-0070527126

Cover of Statistics : Crash Course 00 (ISBN 978-0070527126)
ISBN13: 978-0070527126
ISBN10: 0070527121
Cover type:
Edition/Copyright: 00
Publisher: McGraw-Hill Publishing Company
Published: 2000
International: No

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Statistics : Crash Course - 00 edition

ISBN13: 978-0070527126

Murray R. Spiegel

ISBN13: 978-0070527126
ISBN10: 0070527121
Cover type:
Edition/Copyright: 00
Publisher: McGraw-Hill Publishing Company

Published: 2000
International: No
Summary

Boiled-down essentials of the top-selling Schaum's Outline series for the student with limited time.

What could be better than the bestselling Schaum's Outline series? For students looking for a quick nuts-and-bolts overview, it would have to be Schaum's Easy Outline series. Every book in this series is a pared-down, simplified, and tightly focused version of its predecessor. With an emphasis on clarity and brevity, each new title 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 students quick pointers to the essentials.

  • Designed to appeal to underprepared students and readers turned off by dense text
  • Cartoons, sidebars, icons, and other graphic pointers get the material across fast
  • Concise text focuses on the essence of the subject
  • Delivers expert help from teachers who are authorities in their fields
  • Perfect for last-minute test preparation
  • So small and light that they fit in a backpack!

Author Bio

Speigel, Murray :

Murray Speigel, Ph.D., was Former Professor and Chairman of the Mathematics Department at Rensselaer Polytechnic Institute, Hartford Graduate Center


Lindstrom, David P. :

Table of Contents

Variables and Graphs.

Measures of Central Tendency and Dispersion.

Elementary Probability Theory.

The Binomial, Normal, and Poisson Distributions.

Elementary Sampling Theory.

Statistical Estimation Theory.

Statistical Decision Theory.

Small Sampling Theory.

The Chi-Square Test.

Curve Fitting and the Method of Least Squares.

Correlation Theory.

Multiple and Partial Correlation.

Analysis of Variance.

Nonparametric Tests.

Appendices:

A: Areas Under the Standard Normal Curve.

B: Student's t Distribution.

C: Chi-Square Distribution.

D: 99th Percentile Values for the F Distribution.

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