Statistics

Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data.

Naked Statistics: Stripping the Dread from the Data
How to Lie with Statistics
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
The Art of Statistics: How to Learn from Data
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
The Black Swan: The Impact of the Highly Improbable
Freakonomics: A Rogue Economist Explores the Hidden Side of Everything
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets (Incerto)
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers
The Lady Tasting Tea: How Statistics Revolutionized 카지노싸이트 in the Twentieth Century
The Book of Why: The New 카지노싸이트 of Cause and Effect
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think
The Drunkard's Walk: How Randomness Rules Our Lives
Statistics Done Wrong: The Woefully Complete Guide
Charles P. Kindleberger
This book is an essay in what is derogatorily called "literary economics," as opposed to mathematical economics, econometrics, or (embracing them both) the "new economic history." A man does what he can, and in the more elegant - one is tempted to say "fancier" - techniques I am, as one who received his formation in the 1930s, untutored. A colleague has offered to provide a mathematical model to decorate the work. It might be useful to some readers, but not to me. Catastrophe mathematics, dealin ...more
Charles P. Kindleberger, Manias, Panics, and Crashes: A History of Financial Crises

Leonard Mlodinow
Another mistaken notion connected with the law of large numbers is the idea that an event is more or less likely to occur because it has or has not happened recently. The idea that the odds of an event with a fixed probability increase or decrease depending on recent occurrences of the event is called the gambler's fallacy. For example, if Kerrich landed, say, 44 heads in the first 100 tosses, the coin would not develop a bias towards the tails in order to catch up! That's what is at the root of ...more
Leonard Mlodinow, The Drunkard's Walk: How Randomness Rules Our Lives

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