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Statistics and data analysis for engineers and scientists

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistics and data analysis for engineers and scientists/ by Tanvir Mustafy, Md. Tauhid Ur Rahman.
Author:	Mustafy, Tanvir.
other author:	Rahman, Md Tauhid Ur.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	ix, 180 p. :ill., digital ;24 cm.
[NT 15003449]:	General Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.
Contained By:	Springer Nature eBook
Subject:	Mathematical statistics. -
Online resource:	https://doi.org/10.1007/978-981-99-4661-7
ISBN:	9789819946617

Statistics and data analysis for engineers and scientists
Mustafy, Tanvir.

Statistics and data analysis for engineers and scientists[electronic resource] /by Tanvir Mustafy, Md. Tauhid Ur Rahman. - Singapore :Springer Nature Singapore :2024. - ix, 180 p. :ill., digital ;24 cm. - Transactions on computer systems and networks,2730-7492. - Transactions on computer systems and networks..

General Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs-Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

ISBN: 9789819946617

Standard No.: 10.1007/978-981-99-4661-7doiSubjects--Topical Terms:

516858
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Statistics and data analysis for engineers and scientists
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245 1 0 $a Statistics and data analysis for engineers and scientists $h [electronic resource] / $c by Tanvir Mustafy, Md. Tauhid Ur Rahman.
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490 1 $a Transactions on computer systems and networks, $x 2730-7492
505 0 $a General Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.
520 $a This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs-Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.
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