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Michael Sullivan’s Statistics: Informed Decisions Using Data, Third Edition , connects statistical concepts to readers’ lives, helping them to think critically, become informed consumers, and make better decisions. Throughout the book, “Putting It Together” features help readers visualize the relationships among various statistical concepts. This feature extends to the exercises, providing a consistent vision of the bigger picture of statistics.
This is a standalone book, if you want the book and access code order the ISBN below:
032174442X / 9780321744425 Statistics: Informed Decisions Using Data Plus MyStatLab Student Access Code Card
Package consists of:
0321431308 / 9780321431301 MyMathLab/MyStatLab -- Glue-in Access Card
0321568028 / 9780321568021 Statistics: Informed Decisions Using Data
0321654064 / 9780321654069 MyMathLab Inside Star Sticker
Preface to the Instructor
An Introduction to the Applets
PART 1. GETTING THE INFORMATION YOU NEED
1. Data Collection
1.1 Introduction to the Practice of Statistics
1.2 Observational Studies versus Designed Experiments
1.3 Simple Random Sampling
1.4 Other Effective Sampling Methods
1.5 Bias in Sampling
1.6 The Design of Experiments
Chapter 1 Review
Making an Informed Decision:What Movie Should I Go To?
Case Study: Chrysalises for Cash
PART 2. DESCRIPTIVE STATISTICS
2. Organizing and Summarizing Data
2.1 Organizing Qualitative Data
2.2 Organizing Quantitative Data:The Popular Displays
2.3 Additional Displays of Quantitative Data
2.4 Graphical Misrepresentations of Data
Chapter 2 Review
Making an Informed Decision:Tables or Graphs?
Case Study: The Day the Sky Roared
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 3 Review
Making an Informed Decision: What Car Should I Buy?
Case Study:Who Was A Mourner?
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 4 Review
Making an Informed Decision: What Car Should I Buy?
Case Study: Thomas Malthus, Population, and Subsistence
PART 3. PROBABILITY AND PROBABILITY DISTRIBUTIONS
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:Which Method Do I Use?
5.7 Bayes’s Rule (on CD)
Chapter 5 Review
Making an Informed Decision: Sports Probabilities
Case Study: The Case of the Body in the Bag
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 6 Review
Making an Informed Decision: Should We Convict?
Case Study: The Voyage of the St. Andrew
7. The Normal Probability Distribution
7.1 Properties of the Normal Distribution
7.2 The Standard Normal Distribution
7.3 Applications of the Normal Distribution
7.4 Assessing Normality
7.5 The Normal Approximation to the Binomial Probability Distribution
Chapter 7 Review
Making an Informed Decision: Join the Club
Case Study: A Tale of Blood Chemistry and Health
PART 4. INFERENCE: FROM SAMPLES TO POPULATION
8. Sampling Distributions
8.1 Distribution of the Sample Mean
8.2 Distribution of the Sample Proportion
Chapter 8 Review
Making an Informed Decision: How Much Time Do You Spend in a Day...?
Case Study: Sampling Distribution of the Median
9. Estimating the Value of a Parameter Using Confidence Intervals
9.1 The Logic in Constructing Confidence Intervals for a Population Mean When the Population Standard Deviation Is Known
9.2 Confidence Intervals for a Population Mean When the Population Standard Deviation Is Unknown
9.3 Confidence Intervals for a Population Proportion
9.4 Confidence Intervals for a Population Standard Deviation
9.5 Putting It Together:Which Procedure Do I Use?
Chapter 9 Review
Making an Informed Decision: Whats Your Major?
Case Study:When Model Requirements Fail
10. Hypothesis Tests Regarding a Parameter
10.1 The Language of Hypothesis Testing
10.2 Hypothesis Tests for a Population Mean–Population Standard Deviation Known
10.3 Hypothesis Tests for a Population Mean–Population Standard Deviation Unknown
10.4 Hypothesis Tests for a Population Proportion
10.5 Hypothesis Tests for a Population Standard Deviation
10.6 Putting It Together:Which Method Do I Use?
10.7 The Probability of a Type II Error and the Power of the Test
Chapter 10 Review
Making an Informed Decision: What Does It Really Weigh?
Case Study: How Old Is Stonehenge?
11. Inferences on Two Samples
11.1 Inference about Two Means: Dependent Samples
11.2 Inference about Two Means: Independent Samples
11.3 Inference about Two Population Proportions
11.4 Inference for Two Population Standard Deviations
11.5 Putting It Together:Which Method Do I Use?
Chapter 11 Review
Making an Informed Decision: Where Should I Invest?
Case Study: Control in the Design of an Experiment
12. Inference on Categorical Data
12.1 Goodness-of-Fit Test
12.2 Tests for Independence and the Homogeneity of Proportions
Chapter 12 Review
Making an Informed Decision: Benefits of College
Case Study: Feeling Lucky? Well, Are You?
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 13 Review
Making an Informed Decision: Where Should I Invest? Part II
Case Study: Hat Size and Intelligence
14. Inference on 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 14 Review
Making an Informed Decision: Buying a Car
Case Study: Housing Boom
15. Nonparametric Statistics (on CD)
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
Making an Informed Decision: Where Should I Live?
Case Study: Evaluating Alabamas 1891 House Bill 504
Appendix A Tables
Appendix A Tables (on CD)
Appendix B Lines (on CD)
Posted February 4, 2011
Posted December 28, 2010