Basic Practice of Statistics W/CD-ROM

Name: Basic Practice of Statistics W/CD-ROM
Price: 5.7 USD
Availability: InStock
ISBN: 9780716774785

ISBN-10: 071677478X

ISBN-13: 9780716774785

Edition: 4th 2007 (Revised)

Authors: David S. Moore

List price: $155.99

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This fourth edition of 'Basic Practice of Statistics' gives students the tools to solve complex problems and relate them to the real world. It contains a CD-ROM and is complemented by StatsPortal.

Book details

List price: $155.99
Edition: 4th
Copyright year: 2007
Publisher: W. H. Freeman & Company
Publication date: 8/4/2006
Binding: Box or Slipcased
Pages: 728
Size: 8.79" wide x 10.15" long x 1.19" tall
Weight: 3.586
Language: English

David S. Moore is a professor of psychology at Pitzer College and at Claremont Graduate University. He received his doctorate in developmental psychology from Harvard University and did his postdoctoral work at the City University of New York.



To the Instructor: About this Book


To the Student: Statistical Thinking



Exploring Data


Picturing Distributions with Graphs


Describing Distributions with Numbers


Scatterplots and Correlation


Regression


Two-Way Tables


Part I Review



From Exploration to Inference


Producing Data: Sampling


Producing Data: Experiments


Commentary: Data Ethics


Introducing Probability


Sampling Distributions


General Rules of Probability


Binomial Distributions


Confidence Intervals: The Basics


Tests of Significance: The Basics


Inference in Practice


Part II Review



Inference About Variables


Inference About A Population Mean


Two-Sample Problems


Inference about a Population Portion


Comparing Two Proportions


Part III Review



Inference About Relationships


Two Categorical Variables: The Chi-Square Test


Inference for Regression


One-Way Analysis of Variance: Comparing Several Means


Statistical Thinking Revisited


Notes and Data Sources


Tables


Solutions to Selected Exercises


Index



Optional Companion Chapters


(On the CD, Web, and printed separately)


Nonparametric Tests


Statistical Process Control


Multiple Regression


Two-Way Analysis of Variance