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#22 Robust Data Science with Statistical Modeling

DataFramed

CHAPTER

How Do We Qualify a Probability P?

Rit: How do we take the fact that we could have measured other things into account in our analysis, an abasion inference? We start with a prior distribution over this pramber that we don't know, over this probability. And then we have a likelihood funct, which is just a mathematical way of writing down the fact that there are two outcomes and success is controlled by this probability p. Rit: The more throws we have, the more trials we have,. the more informative the likelihood is.

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