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Cengage – Introduction to Statistics and Data Analysis 2025

Updated August 10, 2026 29.3 MB
Cengage – Introduction to Statistics and Data Analysis 2025

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Description

The seventh edition of Introduction to Statistics and Data Analysis is designed to enhance students’ statistical thinking, emphasizing conceptual understanding, the use of real data, and the skills to interpret and communicate statistical information. By carefully selecting data and examples that reflect diversity and inclusiveness, the authors have strived to provide a comprehensive and up-to-date educational environment for learning statistics in today’s world.

One of the distinctive aspects of this edition is the special attention paid to graphical representations of multivariate data and how to extract information from them, which is an undeniable necessity given the proliferation of complex data in the online space. Using practical activities and reflective questions, the book encourages the student to relate theoretical concepts to real-life situations and career decisions.

Book Features

  • Special focus on analyzing real and applied data instead of relying solely on mathematical formulas.
  • New sections on advanced graphical displays for complex, multivariate data.
  • Presenting “What do you think?” questions to promote critical thinking and connect concepts to the real world.
  • Complete coverage of the data analysis process, from systematic collection and sampling to numerical methods and regression.
  • Alignment with GAISE educational standards to improve the quality of statistics education at the university level.

Book specifications

  • Publisher: Cengage
  • Instructor/Author: Chris Olsen
  • Number of pages: 911
  • Number of chapters: 15
  • Format: PDF

Headlines

Introduction to Statistics and Data Analysis Introduction to Statistics and Data Analysis

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Introduction to Statistics and Data Analysis

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29.3 MB

What is included

  • Special focus on analyzing real and applied data instead of relying solely on mathematical formulas.
  • New sections on advanced graphical displays for complex, multivariate data.
  • Presenting “What do you think?” questions to promote critical thinking and connect concepts to the real world.
  • Complete coverage of the data analysis process, from systematic collection and sampling to numerical methods and regression.
  • Alignment with GAISE educational standards to improve the quality of statistics education at the university level.