For courses in Introductory Statistics.
Helping today’s students think statistically
Fundamentals of Statistics is the brief version of Statistics: Informed Decisions Using Data.
With Fundamentals of Statistics, author and instructor Mike Sullivan III draws on his passion for statistics and teaching to provide the tools needed to see that statistics is connected, not only within individual concepts, but also in the world at large. As a current introductory statistics instructor, Mike Sullivan pulls ideas and strategies used in his classroom into more than 350 new and updated exercises, over 100 new and updated examples, new Retain Your Knowledge problems, and Big Data problems. This practical text takes advantage of the latest statistical software, enabling you to focus on building conceptual understanding rather than memorizing formulas. All resources, including the Student Activity Workbook and Author in the Classroom videos were created for Mike’s classroom to help you succeed and stay engaged.
Also available with MyLab Statistics
MyLab™ Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.
Note: You are purchasing a standalone product; MyLab™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
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0134510143 / 9780134510149 Fundamentals of Statistics Plus MyLab Statistics with Pearson eText -- Access Card Package, 5/e
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MyLab Statistics should only be purchased when required by an instructor.
With training in mathematics, statistics, and economics, Mike Sullivan, III has a varied teaching background that includes 15 years of instruction in both high school and college-level mathematics. He is currently a full-time professor of mathematics and statistics at Joliet Junior College. Mike has numerous textbooks in publication in addition to his Introductory Statistics Series, which include a Developmental Math series, and a Precalculus series, which he writes with his father, Michael Sullivan. Mike has built this book in the classroom using feedback from his students. He is well aware of the challenges of students taking an introductory statistics course. His goal is for students to be more informed interpreters of data, so that they will be better decision makers and have stronger critical-thinking skills. When not in the classroom or writing, Michael enjoys spending time with his three children, Michael, Kevin, and Marissa, and playing golf.
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 College Should I Attend?
Case Study: Chrysalises for Cash (Online)
Part 2: Descriptive Statistics
2. Summarizing Data in Tables and Graphs
2.1 Organizing Qualitative Data
2.2 Organizing Quantitative Data
2.3 Graphical Misrepresentations of Data
Chapter 2 Review
Making an Informed Decision: Tables or Graphs?
Case Study: The Day the Sky Roared (Online)
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? (Online)
4. Describing the Relation between Two Variables
4.1 Scatter Diagrams and Correlation
4.2 Least-Squares Regression
4.3 The Coefficient of Determination
4.4 Contingency Tables and Association
Chapter 4 Review
Making an Informed Decision: Relationships among Variables on a World Scale
Case Study: Thomas Malthus, Population, and Subsistence (Online)
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?
Chapter 5 Review
Making an Informed Decision: The Effects of Drinking and Driving
Case Study: The Case of the Body in the Bag (Online)
6. Discrete Probability Distributions
6.1 Discrete Random Variables
6.2 The Binomial Probability Distribution
Chapter 6 Review
Making an Informed Decision: Should We Convict?
Case Study: The Voyage of the St. Andrew (Online)
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 and Health (Online)
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 (Online)
9. Estimating the Value of a Parameter
9.1 Estimating a Population Proportion
9.2 Estimating a Population Mean
9.3 Putting It Together: Which Procedure Do I Use?
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 Putting It Together: Which Method Do I Use?
Chapter 10 Review
Making an Informed Decision: Selecting a Mutual Fund
Case Study: How Old Is Stonehenge? (Online)
11. Inferences on Two Samples
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 Putting It Together: Which Method Do I Use?
Chapter 11 Review
Making an Informed Decision: Which Car Should I Buy?
Case Study: Control in the Design of an Experiment (Online)
12. Additional Inferential Techniques
12.1 Goodness-of-Fit Test
12.2 Tests for Independence and the Homogeneity of Proportions
12.3 Testing the Significance of the Least-Squares Regression Model
12.4 Confidence and Prediction Intervals
Chapter 12 Review
Making an Informed Decision: Benefits of College
Case Study: Feeling Lucky? Well, Are You? (Online)
Additional Topics on CD
B.2 Estimating a Population Standard Deviation
B.3 Hypothesis Tests for a Population Standard Deviation
B.4 Inference about two Population Proportions: Dependent Samples
B.5 Inference about two Population Standard Deviations
B.6 Comparing three or more means (One-Way Analysis of Variance)
Appendix A. Tables