Mathematics and Statistics for the Quantitative Sciences (e-bog) af Betti, Matthew
Betti, Matthew (forfatter)

Mathematics and Statistics for the Quantitative Sciences e-bog

692,63 DKK (inkl. moms 865,79 DKK)
Mathematics and Statistics for the Quantitative Sciences was born from a radical reimagining of first-year mathematics. While calculus is often seen as the foundational mathematics required for any scientist, this often leads to mathematics being seen as some, ultimately useless, hoop that needs to be jumped through in order to do what someone really wants to do. This sentiment is everywhere at...
E-bog 692,63 DKK
Forfattere Betti, Matthew (forfatter)
Udgivet 12 december 2022
Længde 454 sider
Genrer PBD
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781000806014
Mathematics and Statistics for the Quantitative Sciences was born from a radical reimagining of first-year mathematics. While calculus is often seen as the foundational mathematics required for any scientist, this often leads to mathematics being seen as some, ultimately useless, hoop that needs to be jumped through in order to do what someone really wants to do. This sentiment is everywhere at every level of education. It even shows up in how people stereotype mathematics courses.What this book aims to do, therefore, is serve as a foundational text in everyday mathematics in a way that is both engaging and practically useful. The book seeks to teach the mathematics needed to start to answer fundamental questions like 'why' or 'how'. Why do we only need to take census data once every few years? How do we determine the optimal dosing of a new pharmaceutical without killing people in the process? Or, more generally, what does it even mean to be average? Or what does it mean for two things to actually be different? These questions require a different way of thinking - a quantitative intuition that goes beyond rote memorization and equips readers to meet the quantitative challenges inherent in any applied discipline.FeaturesDraws from a diverse range of fields to make the applications as inclusive as possibleWould be ideal as a foundational mathematical and statistical textbook for any applied quantitative science course