Statistics and data analysis for engineers and scientists

By:

Mustafy, Tanvir

Contributor(s):

Rahman, Md. Tauhid Ur

Material type: Text

TextSeries: Transactions on Computer Systems and Networks (TCSN)Publication details: Springer Cham 2024Description: ix, 180 pISBN:

9789819946631

Subject(s):

Statistics and data analysis

DDC classification:

519.2 MUS

Summary: 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. (https://link.springer.com/book/10.1007/978-981-99-4661-7)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	519.2 MUS (Browse shelf(Opens below))	1	Available		007878

Table of contents:
Front Matter
Pages i-ix
Download chapter PDF
Introduction
Tanvir Mustafy, Md. Tauhid Ur Rahman
Pages 1-36
MATLAB
Tanvir Mustafy, Md. Tauhid Ur Rahman
Pages 37-80
Excel
Tanvir Mustafy, Md. Tauhid Ur Rahman
Pages 81-134
SPSS
Tanvir Mustafy, Md. Tauhid Ur Rahman
Pages 135-180
(https://link.springer.com/book/10.1007/978-981-99-4661-7)

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.

(https://link.springer.com/book/10.1007/978-981-99-4661-7)

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