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Classic, yet contemporary. Theoretical, yet applied. McClave & Sincich’s Statistics: A First Course in 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.

The Eleventh Edition infuses a new focus on ethics, which is critically important when working with statistical data. Chapter Summaries have a new, study-oriented design, helping students stay focused when preparing for exams. Data, exercises, technology support, and Statistics in Action cases are updated throughout the book. In addition, MyStatLab will have increased exercise coverage and two new banks of questions to draw from: Getting Ready for Stats and Conceptual Question Library.

New to This Edition

  Ethics Boxes were added where appropriate to highlight the importance of ethical behavior when collecting, analyzing, and interpreting data with statistics.

  In the “Where We’re Going” sections, which begin each chapter, section numbers now appear next to each learning objective, to show where each concept will be discussed in the chapter.

  End-of-Chapter Summaries are redesigned to be a more effective study aid for students. Important points are reinforced through flow graphs (which aid in selecting the appropriate statistical method) and boxed notes with key words, formulas, definitions, lists, and key concepts.

  Approximately 20% of more than 1,200 exercises are revised and updated. Many new and updated exercises, based on contemporary studies and real data, have been added; most foster and promote critical thinking skills.

  Five of the 14 Statistics in Action cases are new or revised, and each is based on real data from a recent study.

  Updated technology–All printouts from statistical software (SAS, SPSS, MINITAB, and the TI-83/84 Plus Graphing Calculator) and corresponding instructions for use have been revised to reflect the latest versions of the software.

Content Changes:

  Chapter 5 (Confidence Intervals): The methodology for finding a confidence interval for a population mean is developed based on using either a normal (z) statistic (Section 5.2) or a Student's t-statistic (Section 5.3). An optional section (Section 5.6) on estimating a population variance has been added.

  Chapter 6 (Tests of Hypothesis): A new section emphasizing the formulation of the null and alternative hypotheses (Section 6.2) has been added.

  Chapter 8 (Comparing Population Proportions): A subsection on contingency tables with fixed marginals has been added to Section 8.4.
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