Statistics, Global Edition, 13th edition
- James T McClave |
- Terry T Sincich |
Title overview
For courses in introductory statistics.
A Contemporary Classic
Classic, yet contemporary; theoretical, yet applied—McClave & Sincich’s Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises.
Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory.
Pearson MyLab Statistics not included. Students, if Pearson MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
Pearson MyLab Statistics is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
Hallmark features of this title
- Where We're Going bullets begin each chapter, with learning objectives and section numbers corresponding to concept coverage.
- Examples build problem-solving skills with a 3-step approach: Problem, Solution, and Look Back (or Look Ahead). Look Back gives helpful hints for solving the problem and/or provides a further reflection or insight into the concept or procedure that is covered.
- A Now Work exercise suggestion follows each Example, which provides a practice exercise that is similar in style and concept to the example.
- More than 2,000 exercises are included, based on a wide variety of applications in various disciplines and research areas.
- Case studies, applications and biographies keep students motivated and show the relevance of statistics.
New to this Edition
- 25% of the 2,000+ exercises are updated or new, based on contemporary studies and real data. Most of these exercises foster and promote critical thinking skills.
- Updated technology: all printouts from statistical software (SAS, SPSS, MINITAB, and the TI-83/Tl-84 Plus Graphing Calculator) and corresponding instructions for use have been revised to reflect the latest versions of the software.
- New Statistics in Action Cases: six of the 14 cases are new or updated, each based on real data from a recent study.
- Continued emphasis on Ethics: where appropriate, boxes have been added emphasizing the importance of ethical behavior when collecting, analyzing, and interpreting data with statistics.
Key features
Features of MyLab Statistics for the 13th Edition
- 25% new and updated exercises give students more of the practice they need to succeed.
- StatCrunch® applets have been updated to run in HTML5, so that they are more accessible and will run on most computers and tablets without additional plugins.
- Data-informed updates: the authors have analyzed aggregated student usage and performance data from the previous edition's MyLab Statistics course. The results of this analysis helped improved the quality and quantity of exercises that matter most to instructors and students.
Table of contents
- 1. Statistics, Data, and Statistical Thinking
- 2. Methods for Describing Sets of Data
- 3. Probability
- 4. Discrete Random Variables
- 5. Continuous Random Variables
- 6. Sampling Distributions
- 7. Inferences Based on a Single Sample: Estimation with Confidence Intervals
- 8. Inferences Based on a Single
- 9. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
- 10. Analysis of Variance: Comparing More than Two Means
- 11. Simple Linear Regression
- 12. Multiple Regression and Model Building
- 13. Categorical Data Analysis
- 14. Nonparametric Statistics (available online)