An Introduction to Statistics with Python [PDF]

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PDF Title : An Introduction to Statistics with Python 278 Pages Thomas Haslwanter 4.6 MB English work.thaslwanter.at Available

Summary

An Introduction to Statistics with Python

So far we have restricted ourselves to the frequentist interpretation, which interprets p as the frequency of an occurrence: if an outcome of an experiment has the probability p, it means that if that experiment is repeated N times (where N is a large number), then we observe this specific outcome Np times.

Or in other words: given a certain model, we look at the likelihood to find the observed set of data. The Bayesian interpretation of p is quite different and interprets p as our belief of the likelihood of a certain outcome.

Here we take the observed data as fixed and look at the likelihood to find certain model parameters. For some events, this makes a lot more sense. For example, a presidential election is a one-time event, and we will never have a large number of N repetitions.

An Introduction to Statistics with Python PDF

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