We encounter them in daily life yet couldn't comprehend them to use it for our benefit, where as big organization use it for their advantage (amazon trying to predict what its user might be interested - example of regression) . One problem is, these subjects are explained by mathematicians for mathematicians, this article from http://www.betterexplained,com explains that in simple language
http://betterexplained.com/articles/a-brief-introduction-to-probability-statistics/
http://betterexplained.com/articles/a-brief-introduction-to-probability-statistics/
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I have never read such a simple, concise and effective introduction to Statistics and Probability. But the cardinal relationship between them is not mentioned. Data (Observation) → Statistical Inference → Model → Probability Distribution → Data (Prediction).
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Next time I need to explain probability and statistics to a teenager or younger, I will definitely use this resource. It is like having Greek and Latin finally translated to English
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@Manigandan- Thank you for providing the avenue that cured my head ache with the subject. In school I could never get past the pure conjectural nature of Prob & Stats, I always struggled with a way to make it less monotonous, and I have found It! Truly a new perspective on the Mathematical world in general!
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Good you found it useful
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