Item description for Data Matters: Conceptual Statistics for a Random World by Nicholas Maxwell...
Today's reader is increasingly inundated with data and statistics, yet has little mathematical or statistical training to help him understand the storm of data in whichhe lives. Data Matters talks directly to those readers, without formulas, without heavy mathematics. It will appeal to any motivated reader who wants help understanding the data hereads in the newspaper,sees on TV, or encounters on the job.
Author Nicholas Maxwell uses easy-to-understand explanations, real-world contexts and a focus on statistical concepts to help bring a deeper understanding of the world. Each chapter is packed with real data and quotes from today's news media. Interesting and relevant topics are used to illustrate the core mathematical ideas. The text is written withnon-math, non-science readers in mind. Yet it still provides the resources needed to fully understand and apply statistics.
Promise Angels is dedicated to bringing you great books at great prices. Whether you read for entertainment, to learn, or for literacy - you will find what you want at promiseangels.com!
Est. Packaging Dimensions: Length: 9" Width: 7.2" Height: 1.3" Weight: 2.35 lbs.
Release Date Oct 8, 2003
Publisher Key College
ISBN 1930190891 ISBN13 9781930190894
Availability 0 units.
More About Nicholas Maxwell
Nicholas Maxwell has for years argued for revolutionary changes in universities so that they promote wisdom, not merely the acquisition of knowledge. For nearly thirty years he taught philosophy of science at University College in London, where he is now Emeritus Reader.
Nicholas Maxwell was born in 1937 and has an academic affiliation as follows - University of London.
Reviews - What do customers think about Data Matters: Conceptual Statistics for a Random World?
Great book about Statistics Apr 21, 2008
I used this book to help me understand Statistics. I would recommend Data Matters to anyone taking a course in Statistics or simply seeking a clearer understanding of the data presented in the news. Other statistics books are hard to understand. Most text books on Statistics are obtuse and irrelevant. Maxwell has created a book that gives the reader a clear picture of the relevance of and the need to understand statistics in all our lives.
The Best Basic Statistics Book That I've Seen!!! Jun 28, 2005
I've not seen a better basic statistics text. Mr. Maxwell gives clear, non-technical explanations in the context of real-world examples. His illustrations and examples come from today's news. This helps the beginner grasp the concepts faster. And adds excitement and interest for the new student. In spite of its non-technical approach, this book nails the concepts dead-on. This book is a boon for students who get mired in the more traditional text. My congratulations to author Nicholas Maxwell.
Joyce Orsini, PhD Fordham University GBA
Great for self-study if you are a beginner Jan 29, 2005
I have taught a basic statistics class for over twenty years and have interacted with a wide range of students, from those who take the course for an easy A to those who are terrified. The latter group are often their own worst enemy, their fear, uncertainty and doubt (FUD) causes them to make mistakes, even when they know the material. As an instructor, I can reassure them that they can pass the class, but whatever advantage they get from that is often swamped when they read their textbook. The terseness of the explanations and the presence of all the formulas can send them into a low-level anxiety attack. There are many statistics textbooks on the market and they all cover the same material. What differentiates this one is the gentleness of the tone and the extensive textual descriptions. Many cartoon-like figures are also used to reinforce the explanations. My favorite is an "aw-cute" figure on page 268, where two cats snuggling together are used to explain the tails of a distribution. Their tails are pointing in opposite directions and the figure is also used to explain the directions of data skewness. Maxwell also reduces the number of exercises in order to incorporate more explanations. I approve of this approach, some authors seem to think that the greater the number of exercises at the end of a section, the better the book. However, the point of diminishing returns is met quite early and very few people ever read most of them, let alone try to do them. Answers to the odd-numbered exercises are included. This is a great book for self-study in statistics, the best that I have seen. Maxwell also goes to great lengths to demonstrate the limits of statistics, describing in detail what a "statistical proof" really is. While it can be used as a textbook for classes in basic statistics, it is best used as a FUD buster and would bore the students more familiar with the underlying mathematics. For that reason, I hesitate to use it as a textbook and will stick with what I have been using.