Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps:

1. Assume there is a game where a gambler can win by rolling the number-six-on a dice. As part of the rules, gamblers can bring their own dice. If a gambler tried to cheat in a game, he would use a loaded dice to increase his chance of winning. Therefore, if we observe that the gambler won 92 out of 315 games, we could determine whether the dice was fair by conducting an exact binomial test:

        > binom.test(x=92, n=315, p=1/6)        Output:                            Exact binomial test               data: 92 and 315        number of successes = 92, number of trials = 315, p-value =        3.458e-08        alternative hypothesis: true probability of success is not equal to        0.1666667        95 percent confidence interval:        0.2424273 0.3456598        sample estimates: probability ...