Statistics in Action : Understanding a World of Data

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  • Edition: 2nd
  • Format: Hardcover
  • Copyright: 4/1/2010
  • Publisher: Wiley

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This book teaches statistics with a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis than on following recipes for calculations. This gives readers a more realistic understanding of both the theoretical and practical applications of statistics, giving them the ability to master the subject.

Table of Contents

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
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: x2 Critical Values
Table D: F-Distribution Critical Values
Table E: Random Digits
Brief Answers to Practice Problems and Selected Exercises
Photo Credits
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?
Table of Contents provided by Publisher. All Rights Reserved.

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