How to Lie with Statistics
- ISBN13: 9780393310726
- Condition: NEW
- Notes: Brand New from Publisher. No Remainder Mark.
Product Description
Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than inform.Amazon.com Review
“There is terror in numbers,” writes Darrell Huff in How to Lie with Statistics. And nowhere does this terror translate to blind acceptance o… More >>
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It discussed statistics, I guess, but it didn’t discuss anything that would be taught in a college statistics course.
I was hoping to be provided with material on how to calculate and come up with something statistically. It only talked about people misusing numbers.
I think that most high-school students are likely to already have most of the information provided in the book. I am 35 and was mostly disappointed.
Rating: 1 / 5
It’s a cute book, although utterly misleading. The Atlantic wrote: “A pleasantly subversive little book, guaranteed to undermine your faith in the almighty statistic.”
The fact of the matter is that when proper, statistically sound data gathering and analysis methods are employed, the statistics not only do not lie, but they also reveal the nature and extent of the errors inherent in the results.
I know – among other things, I’m a professsional statistician.
In fact, it was my profession in statistics that steered me into network analysis, which is a statistician’s dream world. Large corporations must figure out where the bottlenecks reside, and how to combat them in the most cost-effective, time-valued, long-term manner.
To do this properly, it takes an individual who knows Finance, Statistics, and Networks.
Bottom lie: Statistics themselves don’t lie. However, the improper use of statistics can lead to erroneous conclusions.
Rating: 1 / 5
It’s been a month now and I still haven’t received this book. Links to contact the seller weren’t working a week ago so that’s a little odd, but I’m guessing my order didn’t get processed for some reason.
Rating: 1 / 5
The information was presented in simple language for the non-statistician. It was helpful to consider how statistics are presented and how they can be interpreted. The examples were outdated.
Rating: 2 / 5
When How to Lie — was first published in 1954, when a $10,000 salary was considered munificent, a Yale graduate at $23,000 would have been considered outstanding. And a CEO at $48,000 grossly overpaid. For those who can still think in 1954 terms, relating to the number examples in this book is possible. For all others, when the book was re-copyrighted in 1993, the number examples should have been made current.
Rating: 4 / 5