# Statistics: Informed Decisions Using Data, 4th Edition

Published Date: Dec 27, 2011

## Description

Michael Sullivan’s Statistics: Informed Decisions Using Data, Fourth Edition, connects statistical concepts to students’ lives, helping them to think critically, become informed consumers, and make better decisions. Throughout the book, “Putting It Together” features help students visualize the relationships among various statistical concepts. This feature extends to the exercises, providing a consistent vision of the bigger picture of statistics.

This book follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE), as recommended by the American Statistical Association, and emphasizes statistical literacy, use of real data and technology, conceptual understanding, and active learning.

Part I:  Getting the Information You Need

Chapter 1  Data Collection

1.1   Introduction to the Practice of Statistics

1.2   Observational Studies and Experiments

1.3   Simple Random Sampling

1.4   Other Effective Sampling Methods

1.5   Bias in Sampling

1.6   The Design of Experiments

Chapter Review

Chapter Test

Making an Informed Decision: What College Should I Attend?

Case Study:  Chrysalises for Cash

Part II:  Descriptive Statistics

Chapter 2  Creating Tables and Drawing Pictures of Data

2.1 Organizing Qualitative Data

2.2 Organizing Quantitative Data: The Population Displays

2.3 Additional Displays of Quantitative Data

2.4 Graphical Misrepresentations of Data

Chapter Review

Chapter Test

Making an Informed Decision: Tables or Graphs?

Case Study:  The Day the Sky Roared

Chapter 3  Numerically Summarizing Data

3.1 Measures of Central Tendency

3.2 Measures of Dispersion

3.3 Measures of Central Tendency and Dispersion from Grouped Data

3.4 Measures of Position and Outliers

3.5 The Five-Number Summary and Boxplots

Chapter Review

Chapter Test

Making an Informed Decision: What Car Should I Buy?

Case Study: Who Was “A Mourner”?

Chapter 4  Describing the Relation Between Two Variables

4.1 Scatter Diagrams and Correlation

4.2 Least-Squares Regression

4.3 Diagnostics on the Least-Squares Regression Line

4.4 Contingency Tables and Association

4.5 Nonlinear Regression: Transformations (on CD)

Chapter Review

Chapter Test

Making an Informed Decision: Relationships of Variables on a World Scale

Case Study: Thomas Malthus, Population, and Subsistence

Part III: Probability and Probability Distributions

Chapter 5  Probability

5.1 Probability Rules

5.2 The Addition Rule and Complements

5.3 Independence and the Multiplication Rule

5.4 Conditional Probability and the General Multiplication Rule

5.5 Counting Techniques

5.6 Putting It Together: Probability

5.7 Bayes’s Rule (on CD)

Chapter Review

Chapter Test

Making an Informed Decision: The Effects of Drinking and Driving

Case Study:  The Case of the Body in the Bag

Chapter 6  Discrete Probability Distributions

6.1 Discrete Random Variables

6.2 The Binomial Probability Distribution

6.3 The Poisson Probability Distribution

6.4 The Hypergeometric Probability Distribution (on CD)

Chapter Review

Chapter Test

Making an Informed Decision: Should We Convict?

Case Study:  The Voyage of the St. Andrew

Chapter 7  The Normal Probability Distribution

7.1 Properties of the Normal Distribution

7.2 Applications of the Normal Distribution

7.3 Assessing Normality

7.4 The Normal Approximation to the Binomial Probability Distribution

Chapter Review

Chapter Test

Making an Informed Decision: Stock Picking

Case Study:  A Tale of Blood, Chemistry, and Health

Part IV:  Inferences – From Samples to Population

Chapter 8  Sampling Distributions

8.1 Distribution of the Sample Mean

8.2 Distribution of the Sample Proportion

Chapter Review

Chapter Test

Making an Informed Decision: How Much Time Do You Spend in a Day?

Case Study:  Sampling Distribution of the Median

Chapter 9  Estimating the Value of a Parameter Using Confidence Intervals

9.1 Estimating a Population Proportion

9.2 Estimating a Population Mean

9.3 Confidence Intervals for a Population Standard Deviation

9.4 Putting It Together: Which Procedure Do I Use?

9.5 Estimating with Bootstrapping (NEW)
Chapter Review

Chapter Test

Making an Informed Decision: How Much Should I Spend for this House?

Case Study:  Fire-Safe Cigarettes

Chapter 10  Hypothesis Tests Regarding a Parameter

10.1 The Language of Hypothesis Testing

10.2 Hypothesis Tests for a Population Proportion

10.3 Hypothesis Tests for a Population Mean

10.4 Hypothesis Tests for a Population Standard Deviation

10.5 Putting It Together: Which Method Do I Use?

10.6 The Probability of a Type II Error and the Power of the Test

Chapter Review

Chapter Test

Making an Informed Decision: Selecting a Mutual Fund

Case Study:  How Old Is Stonehenge?

Chapter 11  Inference on Two Samples

11.2 Inference about Two Means: Dependent Samples

11.3 Inference about Two Means: Independent Samples

11.4 Inference about Two Standard Deviations

11.5 Putting It Together: Which Method Do I Use?

Chapter Review

Chapter Test

Making an Informed Decision: Which Car Should I Buy?

Case Study: Control in the Design of Experiment

Chapter 12  Inference on Categorical Data

12.1 Goodness of Fit Test

12.2 Tests for Independence and the Homogeneity of Proportions

Chapter Review

Chapter Test

Making an Informed Decision: Benefits of College

Case Study: Feeling Lucky? Well, Are You?

Chapter 13  Comparing Three or More Means

13.1 Comparing Three or More Means (One-Way Analysis of Variance)

13.2 Post-Hoc Tests on One-Way Analysis of Variance

13.3 The Randomized Complete Block Design

13.4 Two-Way Analysis of Variance

Chapter Review

Chapter Test

Making an Informed Decision: Where Should I Invest?  Part II

Case Study: Hat Size and Intelligence

Chapter 14  Inference of the Least-Squares Regression Model and Multiple

Regression

14.1 Testing the Significance of the Least-Squares Regression Model

14.2 Confidence and Prediction Intervals

14.3 Multiple Regression

Chapter Review

Chapter Test

Making an Informed Decision: Buying a Home

Case Study: Housing Boom

Chapter 15  Nonparametric Statistics

15.1 An Overview of Nonparametric Statistics

15.2 Runs Test for Randomness

15.3 Inferences about Measures of Central Tendency

15.4 Inferences about the Difference between Two Medians: Dependent Samples

15.5 Inferences about the Difference between Two Medians: Independent

Samples

15.6 Spearman’s Rank-Correlation Test

15.7 Kruskal-Wallis Test

Chapter Review

Chapter Test

Making an Informed Decision: Where Should I Live?

Case Study: Evaluating Alabama’s 1891 House Bill 504

Appendix A  Tables

Appendix B  Lines  (on CD)

Index

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• Student's Solutions Manual for Statistics: Informed Decisions Using Data, 4th Edition
Michael Sullivan

## Purchase Info

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ISBN-13: 978-0-321-75727-2

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