Statistics From Data to Decision

ISBN-10: 0470458518
ISBN-13: 9780470458518
Edition: 2nd 2011
List price: $226.99 Buy it from $37.70
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Book details

List price: $226.99
Edition: 2nd
Copyright year: 2011
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/23/2010
Binding: Hardcover
Pages: 856
Size: 9.00" wide x 11.00" long x 1.25" tall
Weight: 4.444
Language: English

Richard L. Scheaffer, Professor Emeritus of Statistics, University of Florida, received his Ph.D. in statistics from Florida State University. Accompanying a career of teaching, research and administration, Dr. Scheaffer has led efforts on the improvement of statistics education throughout the school and college curriculum. Co-author of five textbooks, he was one of the developers of the Quantitative Literacy Project that formed the basis of the data analysis strand in the curriculum standards of the National Council of Teachers of Mathematics. He also led the task force that developed the AP Statistics Program, for which he served as Chief Faculty Consultant. Dr. Scheaffer is a Fellow and past president of the American Statistical Association, a past chair of the Conference Board of the Mathematical Sciences, and an advisor on numerous statistics education projects.

Statistical Reasoning: Investigating a Claim of Discrimination
Discrimination in the Workplace: Data Exploration
Discrimination in the Workplace: Inference
Exploring Distributions of Data
Visualizing Distributions: Shape, Center, and Spread
Summarizing Center and Spread
Working with Summary Statistics
The Normal Distribution
Exploring the Relationship between Two Quantitative Variables
Scatterplots
Regression: Getting a Line on the Pattern
Correlation: The Strength of a Linear Trend
Diagnostics: Looking for Features That the Summaries Miss
Sample Surveys and Experiments
Random Sampling: Playing It Safe by Taking Chances
Why Take Samples, and How Not To
Experiments and Inference about Cause
Designing Experiments to Reduce Variability
Probability Models
Models of Random Behavior
The Addition Rule and Disjoint Events
Conditional Probability and the Multiplication Rule
Independent Events
Probability Distributions
Probability Distributions and Expected Value
Rules for Means and Variances of Probability Distributions
The Binomial Distribution
Sampling Distributions
Generating Sampling Distributions
Sampling Distribution of the Sample Mean
Sampling Distribution of the Sample Proportion
Inference for a Proportion
Estimating a Proportion with Confidence
Confidence Interval for a Proportion
A Significance Test for a Proportion: Interpreting a P-Value
A Significance Test for a Proportion: Making a Decision
Types of Errors and Power of a Test
Comparing Two Populations: Inference for the Difference of Two Proportions
A Confidence Interval for the Difference of Two Proportions
A Significance Test for the Difference of Two Proportions
Inference for Experiments and Observational Studies
Inference for a Mean
A Confidence Interval for a Mean
A Significance Test for a Mean: Interpreting a P-Value
Fixed-Level Tests
Comparing Two Populations: Inference for the Difference of Two Means
A Confidence Interval for the Difference of Two Means
A Significance Test for the Difference of Two Means
Inference for Paired Comparisons
Chi-Square Tests
Testing a Probability Model: The Chi-Square Goodness-of-Fit Test
The Chi-Square Test of Homogeneity
The Chi-Square Test of Independence
Inference for Regression
Variation in the Slope from Sample to Sample
Making Inferences about Slopes
Analysis of Variance
A New Look at the Two-Sample t-Test
One-Way ANOVA: When There Are More Than Two Groups
A Two-Way Analysis of Variance: The Effectiveness of Blocking
Two-Way ANOVA When the Treatments Have Factorial Structure
Multiple Regression
From One to Two Explanatory Variables
From Two to More Explanatory Variables, including Categorical Variables
Westvaco Revisited: Modern Distribution-Free Techniques
Dealing with Small Samples of Categorical Data: Exact Tests
Randomization Tests
Martin versus Westvaco Revisited: Testing a Claim of Discrimination
Statistical Tables
Table A: Standard Normal Probabilities
Table B: t-Distribution Critical Values
Table C: x<sup>2</sup> Critical Values
Table D: F-Distribution Critical Values
Table E: Random Digits
Glossary
Brief Answers to Practice Problems and Selected Exercises
Photo Credits
Index
To be delivered electronically (website):
Transformations for Bivariate Data:
When Conditions Aren't Met for Regression
The Geometric Distribution
Transformations for Univariate Data: When Conditions Aren't Met for a t-Test
Statistics in Action: Case Studies
Mum's the Word!
Keeping Tabs on Americans
Baseball: Does Money Buy Success?

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