How to Lie with Statistics
From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff's lively and engaging primer clarifies the basic principles of statistics and explains how they're…
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Why read it?
1 author picked How to Lie with Statistics as one of their favorite books. Why do they recommend it?
How to Lie with Statistics is a book that I highly recommend to anybody just starting out in data science. While we would like to believe that data science is a science many times it’s not, it’s storytelling. This storytelling with data can quickly get us into trouble. Whether it’s shortening y-axis or presenting data in a way that makes things look better than they are.
Personally I have found this book to be invaluable especially when working with business leaders as to why I won’t do certain things to my models and presentations.
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