In this chapter, we took a brief tour of the classical or frequentist approach to statistics and saw how to combine pandas with the numpy and stats packages—scipy.stats and statsmodels—to calculate, interpret, and make inferences from statistical data.
In the next chapter, we will examine an alternative approach to statistics called the Bayesian approach. For a deeper look at the statistics topics that we touched on, take a look at Understanding Statistics in the Behavioral Sciences, which can be found at http://www.amazon.com/Understanding-Statistics-Behavioral-Sciences-Robert/dp/0495596523.
