This section of our website is devoted to book lists that you can take to your library. The lists are sorted by Category, Subcategory and then Topic.
Booklists Main Page > Mathematics
Copyright © 2004 - 2006 Eclectic Homeschool Association
- Cartoon Guide to Statistics
by Larry Gonick (Author), Woollcott Smith (Author)
If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy.
The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more--all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant!
- Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists
by Joel Best
When it comes to thinking about statistics, there are four kinds of people: awestruck, naive, cynical, and critical. According to sociologist Joel Best, the vast majority of people are naive (yes, you too probably suffer from a mild case of innumeracy), and the result is mutant statistics, guesswork, and poor policy decisions. "Bad statistics live on," writes Best in this highly accessible book, "they take on lives of their own." Take this one: a psychologist's estimate that perhaps 6 percent of priests were at some point sexually attracted to young people was transformed through a chain of errors into the "fact" that 6 percent of priests were pedophiles. Then there was the one about eating disorders. An original estimate that 150,000 women were anorexic, made by concerned activists, mutated into 150,000 women dying from the disorder annually (the truth: about 70 women a year). But these two mutant statistics have been published and passed along as facts for years, enduring long after the truth has been pointed out.
In an effort to turn people into critical thinkers, Best presents three questions to ask about all statistics and the four basic sources of bad ones. He shows how good statistics go bad; why comparing statistics from different time periods, groups, etc. is akin to mixing apples and oranges; and why surveys do little to clarify people's feelings about complex social issues. Random samples, it turns out, are rarely random enough. He also explains what all the hoopla is over how the poverty line is measured and the census is counted. What is the "dark figure"? How many men were really at the Million Man March? How is it possible for the average income per person to rise at the same time the average hourly wage is falling? And how do you discern the truth behind stat wars? Learn it all here before you rush to judgment over the next little nugget of statistics-based truth you read. --Lesley Reed
- How to Lie With Statistics
by Darrell Huff (Author), Irving Geis (Illustrator)
"There is terror in numbers," writes Darrell Huff in How to Lie with Statistics. And nowhere does this terror translate to blind acceptance of authority more than in the slippery world of averages, correlations, graphs, and trends. Huff sought to break through "the daze that follows the collision of statistics with the human mind" with this slim volume, first published in 1954. The book remains relevant as a wake-up call for people unaccustomed to examining the endless flow of numbers pouring from Wall Street, Madison Avenue, and everywhere else someone has an axe to grind, a point to prove, or a product to sell. "The secret language of statistics, so appealing in a fact-minded culture, is employed to sensationalize, inflate, confuse, and oversimplify," warns Huff.
Although many of the examples used in the book are charmingly dated, the cautions are timeless. Statistics are rife with opportunities for misuse, from "gee-whiz graphs" that add nonexistent drama to trends, to "results" detached from their method and meaning, to statistics' ultimate bugaboo--faulty cause-and-effect reasoning. Huff's tone is tolerant and amused, but no-nonsense. Like a lecturing father, he expects you to learn something useful from the book, and start applying it every day. Never be a sucker again, he cries!
Even if you can't find a source of demonstrable bias, allow yourself some degree of skepticism about the results as long as there is a possibility of bias somewhere. There always is.
Read How to Lie with Statistics. Whether you encounter statistics at work, at school, or in advertising, you'll remember its simple lessons. Don't be terrorized by numbers, Huff implores. "The fact is that, despite its mathematical base, statistics is as much an art as it is a science." --Therese Littleton
- More Damned Lies and Statistics: How Numbers Confuse Public Issues
by Joel Best
In this sequel to the acclaimed Damned Lies and Statistics, which the Boston Globe said "deserves a place next to the dictionary on every school, media, and home-office desk," Joel Best continues his straightforward, lively, and humorous account of how statistics are produced, used, and misused by everyone from researchers to journalists. Underlining the importance of critical thinking in all matters numerical, Best illustrates his points with examples of good and bad statistics about such contemporary concerns as school shootings, fatal hospital errors, bullying, teen suicides, deaths at the World Trade Center, college ratings, the risks of divorce, racial profiling, and fatalities caused by falling coconuts. More Damned Lies and Statistics encourages all of us to think in a more sophisticated and skeptical manner about how statistics are used to promote causes, create fear, and advance particular points of view.
Best identifies different sorts of numbers that shape how we think about public issues: missing numbers are relevant but overlooked; confusing numbers bewilder when they should inform; scary numbers play to our fears about the present and the future; authoritative numbers demand respect they don't deserve; magical numbers promise unrealistic, simple solutions to complex problems; and contentious numbers become the focus of data duels and stat wars. The author's use of pertinent, socially important examples documents the life-altering consequences of understanding or misunderstanding statistical information. He demystifies statistical measures by explaining in straightforward prose how decisions are made about what to count and what not to count, what assumptions get made, and which figures are brought to our attention.
Best identifies different sorts of numbers that shape how we think about public issues. Entertaining, enlightening, and very timely, this book offers a basis for critical thinking about the numbers we encounter and a reminder that when it comes to the news, people count--in more ways than one.
- Statistics for People Who (Think They) Hate Statistics
by Neil J. Salkind
This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. Author Neil J. Salkind takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and includes reviews of more advanced techniques, such as reliability, validity, introductory non-parametric statistics, and more. Pedagogical features include sidebars offering additional technical information about the topics presented and points that reinforce major themes in the book. This new edition also includes more examples than ever before, an expanded set of exercises at the end of each chapter, and a more comprehensive glossary.
Information and corrections to the text available at http://www.statisticsforpeople.com/