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English | January 30, 2014 | ISBN-10: 1842658492 | 178 pages| PDF (True) | 6 MB[/center]
As an introductory text, Basic Statistics outlines an elementary, one-semester course designed to expose students to many statistical ideas and rules that underlie statistical reasoning. Presenting a thorough, step-by-step development of fundamental principles, this book reflects the changes that have taken place in recent years in statistical thinking and in the teaching of statistics.Readers will be provided with the most comprehensive and mathematically-oriented presentation of elementary concepts and methods in the field of statistics, with the book detailing every major technique of numerical data handling using MS Excel.Alongside the primary focus on a mathematical development of the subject, Thomas also offers diverse examples and exercises that are oriented towards real world' applications.Table of Contents• Introduction• Organization of Data• Presentation of Data• Measures of Central Tendency• Measures of Dispersion and Skewness• Introduction to Probability Theory• Conditional Probability and Bayes' Theorem• Index Numbers.
English | January 30, 2014 | ISBN-10: 1842658492 | 178 pages| PDF (True) | 6 MB[/center]
As an introductory text, Basic Statistics outlines an elementary, one-semester course designed to expose students to many statistical ideas and rules that underlie statistical reasoning. Presenting a thorough, step-by-step development of fundamental principles, this book reflects the changes that have taken place in recent years in statistical thinking and in the teaching of statistics.Readers will be provided with the most comprehensive and mathematically-oriented presentation of elementary concepts and methods in the field of statistics, with the book detailing every major technique of numerical data handling using MS Excel.Alongside the primary focus on a mathematical development of the subject, Thomas also offers diverse examples and exercises that are oriented towards real world' applications.Table of Contents• Introduction• Organization of Data• Presentation of Data• Measures of Central Tendency• Measures of Dispersion and Skewness• Introduction to Probability Theory• Conditional Probability and Bayes' Theorem• Index Numbers.
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