Practice of Business Statistics W/CD

ISBN-10: 142922150X

ISBN-13: 9781429221504

Edition: 2nd 2009

List price: $190.99
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"The Practice of Business Statistics" offers a welcome innovation by allowing students to make data-informed, real-world business decisions almost from day one. By discussing data production and interpretation early in the book data analysis can then be used throughout the course. This approach drives home the relevance and usefulness of statistical ideas to the business world from the onset. New Format Options"The Practice of Business Statistics" responds to concerns about textbook length by offering instructors a number of alternatives: A core book containing the first 14 chaptersCompanion chapters on advanced inference topics (available on the book companion site, or through W.H. Freeman Custom Publishing): 15. Two-Way Analysis of Variance16. Nonparametric Statistics17. Logistic Regression18. Bootstrapping Methods and Permutation Tests
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Book details

List price: $190.99
Edition: 2nd
Copyright year: 2009
Publisher: W. H. Freeman & Company
Publication date: 2/15/2008
Binding: Box or Slipcased 
Pages: 859
Size: 8.25" wide x 10.00" long x 1.50" tall
Weight: 4.576
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.

DAVID S. MOORE Shanti S. Gupta Distinguished Professor of Statistics at Purdue University, USA, and was 1998 president of the American Statistical Association. He is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation. He has also served as president of the International Association for Statistical Education and has received the Mathematical Association of America's national award for distinguished college or university teaching of mathematics. GEORGE P. McCABE Associate Dean for Academic Affairs and Professor of Statistics at Purdue University, USA. His entire professional career has been spent at Purdue, with sabbaticals at Princeton, the Commonwealth Scientific and Industrial Research Organization (CSIRO) in Melbourne, Australia, the University of Berne, Switzerland, the National Institute of Standards and Technology (NIST) in Boulder, Colorado, USA, and the National University of Ireland in Galway. He is an elected fellow of the American Statistical Association and was 1998 chair of its section on Statistical Consulting. He has served on the editorial boards of several statistics journals. He has consulted with many major corporations and has testified as an expert witness on the use of statistics in several legal cases. BRUCE CRAIG Director of the Statistical Consultingnbsp;Service at Purdue University, USA (following George McCabe). This along with his strong academic research credentials and his many years of teaching statistics at all levels provide the academic experience and contemporary real data from the center's consulting that lecturers have grown to expect in this textbook.

Examining Distributions
Displaying Distributions with Graphs
Describing Distributions with Numbers
The Normal Distributions
Examining Relationships
Least-Squares Regression
Cautions about Correlation and Regression
Relations in Categorical Data
Producing Data
Designing Samples
Designing Experiments
Toward Statistical Inference
NEW Commentary: Data Ethics
Probability and Inference
Probability and Sampling Distributions
Probability Models
Random Variables
The Sampling Distribution of a Sample Mean
Probability Theory
General Probability Rules
The Binomial Distributions
The Poisson Distributions
Conditional Probability
Introduction to Inference
Estimating with Confidence
Tests of Significance
Using Significance Tests
Power and Inference as a Decision
Inference for Distributions
Inference for the Mean of a Population
Comparing Two Means
Optional Topics in Comparing Distributions
Inference for Proportions
Inference for a Single Proportion
Comparing Two Proportions
Topics in Inference
Inference for Two-Way Tables
Analysis of Two-Way Tables
Formulas and Models for Two-Way Tables
Inference for Regression
Inference about the Regression Model
Using the Regression Line
Some Details of Regression Inference
Multiple Regression
Data Analysis for Multiple Regression
Inference for Multiple Regression
Multiple Regression Model Building
Statistics for Quality: Control and Capability
Statistical Process Control
Using Control Charts
Process Capability Indexes
Control Charts for Sample Proportions
Time Series Forecasting
Trends and Seasons
Time Series Models
One-Way Analysis of Variance
One-Way Analysis of Variance
Comparing Group Means
The Power of the ANOVA Test
Optional Individual Companion Chapters
Two-Way Analysis of Variance
The Two-Way ANOVA Model
Inference for Two-Way ANOVA
Nonparametric Tests
The Wilcoxon Rank Sum Test
The Wilcoxon Signed Rank Test
The Kruskal-Wallis Test
Logistic Regression
The Logistic Regression Model
Inference for Logistic Regression
Multiple Logistic Regression
Bootstrap Methods and Permutation Tests
Why Resampling?
Introduction to Bootstrapping
Bootstrap Distributions and Standard Errors
How Accurate is a Bootstrap Distribution?
Bootstrap Confidence Intervals
Significance Testing Using Permutation Tests
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