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Wednesday, August 21, 2019

Statistical Methods

Statistical Analysis

Statistical Methods for the Social Sciences

The purpose of this book is to acquaint the reader with the increasing number of applications of statistics in engineering and the social sciences. It can be used as a textbook for a first course in statistical methods in Universities and Polytechnics. The book can also be used by decision-makers and researchers to either gain a basic understanding or to extend their knowledge of some of the most commonly used statistical methods. The book contains ten Chapters. Chapter 1 deals with the overview of statistics. In Chapter 2, we discuss how to describe data, using graphical and summary statistics. Chapter 3 covers probability while Chapters 4 and 5 cover probability distributions. Chapters 6, 7, 8 and 9 present basic tools of statistical inference; point estimation, interval estimation, hypothesis testing and analysis of variance. Chapter 10 presents linear regression and correlation. Our presentation is distinctly applications-oriented.

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A prominent feature of the book is the inclusion of many examples. Each example is carefully selected to illustrate the application of a particular statistical technique and or interpretation of results. Another feature is that each chapter has an extensive collection of exercises. Many of these exercises are from published sources, including past examination questions from King Saud University (Saudi Arabia) and Methodist University College Ghana. Answers to all the exercises are given at the end of the book.


About the Author:

Ed Neil O. Maratas an instructor of Jose Rizal Memorial State University, Dapitan Campus, Philippines as regular status. He earned his Bachelor of Science in Statistics at Mindanao State University-Tawi-Tawi College of Technology and Oceanography in the year 2003 and finished Master of Arts in Mathematics at Jose Rizal Memorial State University year 2009. He Became a researcher, a data analyst, and engaged to several projects linked to the university as data processor.


Prepared by:ednielmaratas@gmail.com or you can visit the facebook pageStatisticss For Funfor more details about statistics.

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