Titlebook: Statistics and Data Analysis for Engineers and Scientists; Tanvir Mustafy,Md. Tauhid Ur Rahman Textbook 2024 The Editor(s) (if applicable)

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書(shū)目名稱Statistics and Data Analysis for Engineers and Scientists影響因子(影響力)




書(shū)目名稱Statistics and Data Analysis for Engineers and Scientists影響因子(影響力)學(xué)科排名




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Introduction,rld of statistics, offering a solid introduction to fundamental concepts and their practical applications in the realms of engineering and science. Starting with a broad overview, the chapter underscores the pivotal role that statistics plays in deciphering data and guiding informed decision-making.

CODA

MATLAB,ol that serves as the linchpin of modern data analysis and scientific computation. This chapter offers readers a comprehensive initiation into MATLAB, encompassing fundamental concepts, essential commands, script and function files, arrays, and matrices. Readers will embark on a journey that equips

Meditate

Excel,tool for data analysis, manipulation, and visualization. This chapter is a comprehensive guide to harnessing Excel’s power for engineering and scientific applications. Beginning with an introduction to Excel, readers gain an understanding of its importance in modern data-driven disciplines. The fund

壓倒

的闡明

Textbook 2024rofessional 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, delive

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導(dǎo)師

手銬

Introduction,he inherent variability in scientific data, the chapter underscores the need for robust statistical methodologies to navigate this variability effectively. The chapter then delves into data collection, with an emphasis on experimental design and the rationale behind random assignment of experimental

終止

MATLAB,ering and scientific disciplines. They navigate through basic commands, empowering them to interact with the software efficiently. Script and function files are introduced, providing the framework for organizing and automating tasks, enhancing the reproducibility of analyses. Arrays and matrices, fu