Statistics : based on Schaum's outline of theory and problems of statistics

Bibliographic Information

Statistics : based on Schaum's outline of theory and problems of statistics

by Murray R. Spiegel ; abridgement editor, David P. Lindstrom

(Schaum's outline series, . Schaum's easy outlines)

McGraw-ill, c2000

Available at  / 3 libraries

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Includes index

Description and Table of Contents

Description

This book is useful when you don't have the time...but you still need the grade! If your life is too busy to spend hours pouring over weighty textbooks, and you need every study minute to count, this "Schaum's Easy Outline" is perfect for you! This super-condensed, high-torque study guide gives you what you need to know in a fraction of the time. Built for quick, effective study, this "Easy Outline" packs exciting new learning tools that make mastering statistics fast, fun - and almost automatic. Quick-study experts slashed the time you need to spend with your books by reducing statistics to the essentials the professor expects you to know.This "Easy Outline" is perfect for test preparation, pre-exam review, and handling those last-minute cram situations. "Easy Outlines" give you 100 per cent of the authority of "Schaum's" full-sized guides, known around the world for the highest academic standards. Compact and portable, this "Easy Outline" lets you study statistics anywhere. "Schaum's" Gets the Grade! Let's talk bottom line. "Schaum's Easy Outlines" give you what you - better grades, with less work, and more free time! Get the essence of statistics the easy way. "Schaum's Easy Outline of Statistics" helps you master statistics with plenty of illustrations, memory joggers, and the newest, rapid-absorption teaching techniques. Backed by Schaum's reputation for academic authority, this is the stud guide students turn to and trust. Students know that Schaum's is going to be there for them when they need it!

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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