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Build the skills to see the bigger picture and make informed choices
Packed with ideas and strategies that work in today’s classroom, Statistics: Informed Decisions Using Data embodies the current teaching experience of acclaimed author Mike Sullivan III. His practical emphasis shows students that statistics is connected not only to individual concepts, but to the world at large.
In the 6th Edition, Sullivan ensures that all features follow the most recent Guidelines for Assessment and Instruction in Statistics Education (GAISE) for the college introductory course. This revision continues to evolve with the goal of providing clear, readable explanations, while challenging students to learn how to think conceptually about statistics. Updates include a variety of additional resources for instructors to use with their students, new and updated examples and problems that use real data to keep students motivated, and updated Integrated Review materials that can be used in a corequisite course.
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0135780276 / 9780135780275 MYLAB STATISTICS WITH PEARSON ETEXT -- ACCESS CARD -- FOR STATISTICS: INFORMED DECISIONS USING DATA (18-WEEKS), 6/e
Table of contents
Preface to the Instructor
Resources for Success
I. 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 College Should I Attend?
Case Study: Chrysalises for Cash
II. 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 (online)
Chapter 4 Review
Making an Informed Decision: Relationships among Variables on a World Scale
Case Study: Thomas Malthus, Population, and Subsistence
III. 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 Simulating Probability Experiments
5.7 Putting It Together: Which Method Do I Use?
5.8 Bayes’s Rule (online)
Chapter 5 Review
Making an Informed Decision: The Effects of Drinking and Driving
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 (online)
6.5 Combining Random Variables (online)
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 Applications of the Normal Distribution
7.3 Assessing Normality
7.4 The Normal Approximation to the Binomial Probability Distribution
Chapter 7 Review
Making an Informed Decision: Stock Picking
Case Study: A Tale of Blood Chemistry
IV. 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
9.1 Estimating a Population Proportion
9.2 Estimating a Population Mean
9.3 Estimating a Population Standard Deviation
9.4 Putting It Together: Which Method Do I Use?
9.5 Estimating with Bootstrapping
Chapter 9 Review
Making an Informed Decision: How Much Should I Spend for this House?
Case Study: Fire-Safe Cigarettes
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
10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion (online)
10.2B Hypothesis Tests for a Population Proportion Using the Normal Model (online)
10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean (online)
Chapter 10 Review
Making an Informed Decision: Selecting a Mutual Fund
Case Study: How Old Is Stonehenge?
11. Inference on Two Population Parameters
11.1 Inference about Two Population Proportions
11.2 Inference about Two Means: Dependent Samples
11.3 Inference about Two Means: Independent Samples
11.4 Inference about Two Population Standard Deviations
11.5 Putting It Together: Which Method Do I Use?
11.1A Using Randomization Techniques to Compare Two Proportions (online)
11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means (online)
11.3A Using Randomization Techniques to Compare Two Independent Means (online)
Chapter 11 Review
Making an Informed Decision: Which Car Should I Buy?
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
12.3 Inference about Two Population Proportions: Dependent Samples
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
Chapter Test 687
Making an Informed Decision: Where Should I Invest?
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 Introduction to Multiple Regression
14.4 Interaction and Dummy Variables
14.5 Polynomial Regression
14.6 Building a Regression Model
14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line (online)
Chapter 14 Review
Making an Informed Decision: Buying a Home
Case Study: Housing Boom
15. Nonparametric Statistics
15.1 An Overview of Nonparametric Statistics
15.2 Runs Test for Randomness
15.3 Inference about Measures of Central Tendency
15.4 Inference about the Difference between Two Medians: Dependent Samples
15.5 Inference about the Difference between Two Medians: Independent Samples
15.6 Spearman’s Rank-Correlation Test
15.7 Kruskal—Wallis Test
Chapter 15 Review
Making an Informed Decision: Where Should I Live?
Case Study: Evaluating Alabama’s 1891 House Bill 504
Appendix A Tables
Appendix B Lines (online)
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Published by Pearson (March 14th 2020) - Copyright © 2021