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Pearson – Elementary Statistics Using Excel 2018

Updated August 10, 2026 54 MB
Pearson – Elementary Statistics Using Excel 2018

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Description

Elementary Statistics Using Excel is one of the most authoritative educational resources for learning the basic concepts of statistics using the popular Microsoft Excel software. Using real-world examples from the worlds of business, social sciences, and everyday life, the author explains complex statistical formulas and theories in simple language. The main goal of the book is to enable students to go beyond memorizing formulas and understand the real meaning of data.

This edition focuses on the latest features and analytical tools of Excel software to make data processing easier. Readers are introduced step-by-step to how to enter data, draw statistical graphs, test hypotheses, and conduct regression analyses. This resource is used as a standard textbook in universities around the world due to its well-organized structure and numerous practical exercises.

Book Features

  • Step-by-step training in descriptive and inferential statistics concepts using Excel tools
  • Includes detailed images and visual guides of the Excel software environment for better understanding
  • Use of real and up-to-date data in the book’s exercises and examples
  • Suitable for students of management, economics, social sciences, and engineering.
  • Focus on interpreting statistical results rather than engaging in complex manual calculations

Book specifications

  • Publisher: Pearson
  • Instructor/Author: MARIO F. TRIOLA
  • Number of pages: 873
  • Number of chapters: 15
  • Format: PDF

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Elementary Statistics Using Excel

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Elementary Statistics Using Excel

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What is included

  • Step-by-step training in descriptive and inferential statistics concepts using Excel tools
  • Includes detailed images and visual guides of the Excel software environment for better understanding
  • Use of real and up-to-date data in the book’s exercises and examples
  • Suitable for students of management, economics, social sciences, and engineering.
  • Focus on interpreting statistical results rather than engaging in complex manual calculations