In fact, the vast majority of the content in this book relies on one of five distributions: the binomial distribution, the normal distribution, the t distribution, the χ 2 (“chi-square”) distribution ...In fact, the vast majority of the content in this book relies on one of five distributions: the binomial distribution, the normal distribution, the t distribution, the χ 2 (“chi-square”) distribution and the F distribution. In the equation for the binomial, $X!$ is the factorial function (i.e., multiply all whole numbers from 1 to $X$), and for the normal distribution \"exp\" refers to the exponential function, which we discussed in the Chapter on Data Handling.
In fact, the vast majority of the content in this book relies on one of five distributions: the binomial distribution, the normal distribution, the t distribution, the χ 2 (“chi-square”) distribution,...In fact, the vast majority of the content in this book relies on one of five distributions: the binomial distribution, the normal distribution, the t distribution, the χ 2 (“chi-square”) distribution, and the F distribution. The theory of probability originated in the attempt to describe how games of chance work, so it seems fitting that our discussion of the binomial distribution should involve a discussion of rolling dice and flipping coins.
