Adam Spencer's World of Numbers

Xoum Publishing
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‘Funny, yet with hidden depths – like its author.’ Brian Cox

From the building blocks of life, to the games we play, the food we eat, and the marvels of space, Australia’s funniest mathematician is back with a fascinating snapshot of the world of numbers.

What’s a ‘firkin’? Is a tardigrade animal, vegetable or mineral? How fast is Usain Bolt ...  really? And what’s the record for the most lobster rolls eaten in 10 minutes? All these questions and more are answered in Adam Spencer’s World of Numbers.

This is a book for young and old – for anyone who’s ever wondered how things work, who loves puzzles and numbers, or is just plain curious about the amazing world around us.

After his bestselling Big Book of Numbers, Australia’s funniest and most famous mathematician is back by popular demand! Adam Spencer has been entertaining us for almost 20 years on triple j, ABC radio and television. You can find him on Twitter @adambspencer, on the web at adamspencer.com.au and on Facebook.

Praise for Adam Spencer’s Big Book of Numbers 

‘Funny, informative and, even better for dummies like me, all the answers are in the back.’ Wil Anderson

‘If you find this book boring, you should be in a clinic.’ John Cleese

‘Every bright young mind in Australia should read Adam Spencer’s Big Book of Numbers – and we oldies would benefit too.’ Peter FitzSimons

‘Even the page numbers will start to look fascinating once you’ve read this book!’ Amanda Keller

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About the author

In 1996, while doing a Maths PhD at Sydney Uni, Adam Spencer won the Melbourne International Comedy Festival Raw Comedy Championship. He went on to host the legendary triple j breakfast show with Wil Anderson before graduating to 702 ABC Sydney where he secured record ratings for the station for eight years. His TV credits include The GlasshouseGood News Week, The Project, Q&A and, with Dr Karl, Sleek Geeks. His 2013 TED talk at Long Beach California on Prime numbers is a geek comedy classic and has had over 1.5 million views. Adam lives on the NSW Central Coast with his family.

www.adamspencer.com.au 

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Additional Information

Publisher
Xoum Publishing
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Published on
Nov 1, 2015
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Pages
384
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ISBN
9781921134876
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Language
English
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Genres
Science / General
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Content Protection
This content is DRM free.
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Read Aloud
Available on Android devices
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Eligible for Family Library

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In August 1859 Bernhard Riemann, a little-known 32-year old mathematician, presented a paper to the Berlin Academy titled: "On the Number of Prime Numbers Less Than a Given Quantity." In the middle of that paper, Riemann made an incidental remark â€" a guess, a hypothesis. What he tossed out to the assembled mathematicians that day has proven to be almost cruelly compelling to countless scholars in the ensuing years. Today, after 150 years of careful research and exhaustive study, the question remains. Is the hypothesis true or false?

Riemann's basic inquiry, the primary topic of his paper, concerned a straightforward but nevertheless important matter of arithmetic â€" defining a precise formula to track and identify the occurrence of prime numbers. But it is that incidental remark â€" the Riemann Hypothesis â€" that is the truly astonishing legacy of his 1859 paper. Because Riemann was able to see beyond the pattern of the primes to discern traces of something mysterious and mathematically elegant shrouded in the shadows â€" subtle variations in the distribution of those prime numbers. Brilliant for its clarity, astounding for its potential consequences, the Hypothesis took on enormous importance in mathematics. Indeed, the successful solution to this puzzle would herald a revolution in prime number theory. Proving or disproving it became the greatest challenge of the age.

It has become clear that the Riemann Hypothesis, whose resolution seems to hang tantalizingly just beyond our grasp, holds the key to a variety of scientific and mathematical investigations. The making and breaking of modern codes, which depend on the properties of the prime numbers, have roots in the Hypothesis. In a series of extraordinary developments during the 1970s, it emerged that even the physics of the atomic nucleus is connected in ways not yet fully understood to this strange conundrum. Hunting down the solution to the Riemann Hypothesis has become an obsession for many â€" the veritable "great white whale" of mathematical research. Yet despite determined efforts by generations of mathematicians, the Riemann Hypothesis defies resolution.

Alternating passages of extraordinarily lucid mathematical exposition with chapters of elegantly composed biography and history, Prime Obsession is a fascinating and fluent account of an epic mathematical mystery that continues to challenge and excite the world. Posited a century and a half ago, the Riemann Hypothesis is an intellectual feast for the cognoscenti and the curious alike. Not just a story of numbers and calculations, Prime Obsession is the engrossing tale of a relentless hunt for an elusive proof â€" and those who have been consumed by it.
Lecturers - request an e-inspection copy of this text or contact your local SAGE representative to discuss your course needs.

Watch Andy Field's introductory video to Discovering Statistics Using R

Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.

The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.

Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.

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