A Modern Introduction to Probability and Statistics: Understanding Statistical Principles in the Age of...

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Graham Upton

A Modern Introduction to Probability and Statistics

Understanding Statistical Principles in the Age of the Computer

Graham Upton

$94.95

Paperback

Forthcoming
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English

Oxford University Press
01 July 2025

Probability & statistics; Applied mathematics

Probability and statistics are subjects fundamental to data analysis, making them essential for efficient artificial intelligence. Although the foundational concepts of probability and statistics remain constant, what needs to be taught is constantly evolving.

The first half of the book introduces probability, conditional probability and the standard probability distributions in the traditional way. The second half considers the power of the modern computer and our reliance on technology to do the calculations for us. Offering a fresh presentation that builds on the author's previous book, Understanding Statistics, this book includes exercises (with solutions at the rear of the book) and worked examples. Chapters close with a brief mention of the relevant R commands and summary of the content. Increasingly difficult mathematical sections are clearly indicated, and these can be omitted without affecting the understanding of the remaining material.

Aimed at first year graduates, this book is also suitable for readers familiar with mathematical notation.

By: Graham Upton
Imprint: Oxford University Press
Country of Publication: United Kingdom
Dimensions: Height: 246mm, Width: 189mm,
ISBN: 9780198943136
ISBN 10: 019894313X
Pages: 384
Publication Date: 01 July 2025
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Forthcoming

Graham Upton is a retired Professor of Applied Statistics, formerly of the Department of Mathematical sciences at The University of Essex. He has published numerous books, including The Oxford Dictionary of Statistics, Data Analysis: A Gentle Introduction for Future Data Scientists, and Understanding Statistics with OUP.