Essentials of Statistics, 7th edition

For courses in Introductory Statistics.

Statistics for technology, careers and life

Essentials of Statistics helps students of all majors understand the role of statistics in our world. Data science is growing exponentially, and statistics is essential to careers from phys ed to law, business and more. From vaccine trials to elections and self-driving cars, statistics shapes our lives.

The 7th Edition uses the latest and best methods of professional statisticians. It presents topics used in data science and many other applications, with the very large data sets now common in current culture. It includes new and interesting exercises, examples, data sets and Chapter Problems, and much more.

Hallmark features of this title

Real data

• More than 90% of all examples, exercises, and problems use real data.
• Data sets increase statistical literacy. Larger data sets provide experience that aligns with what students are likely to do in future careers.
• Emphasis on interpreting results rather than just obtaining answers helps students develop statistical literacy and arrive at practical conclusions. Worked examples model this approach.

Application and interpretation

• Your Turn feature in many examples directs students to a relevant exercise so they can immediately apply what they've learned.
• Flowcharts throughout simplify and clarify complex concepts and procedures.
• The optional print Student Workbook offers additional examples, concept exercises, and vocabulary exercises for each chapter.

New and updated features of this title

• New content: Approximately 65% of Exercises, 57% of Examples and 100% of Chapter Problems are new to the 7th Edition.
• New Data Sets in Appendix B: Data sets are expanded from 32 data sets to 46, with 20 sets that are new (such as Internet Traffic, Queues, Commute Times, Candies, Taxis, Car Data and Disney World Wait Times). Significantly larger data sets in this edition are essential as students enter the age of big data and data science.
• New types of exercises: The Cumulative Review Exercises near the end of Chapters 9, 10, and 11 consist of open-ended questions that present students with a data set. Students are then asked to pose a key question relevant to the data, identify a procedure for addressing that question, and analyze the data to form a conclusion.
• 34 New Margin Essays highlight real-world topics,
• Big (or Very Large) Data Projects are new to this revision. Found near the end of each chapter, these ask students to think critically while using large data sets.
• New Chapter Problem icon marks Examples that relate to the Chapter Problem, to show how different statistical concepts and procedures can be applied to the real-world issue highlighted in the chapter.