MemorandumTo: US Bicycle Team TrainerFrom: Mediocre Stat 250 StudentDate: March 14th, 2018Subject: Chocolate and DistanceDear Bicycle Trainer, We are treating this experiment with a sample size of 9 male bicyclists for the Tour De France as a crossover experiment. This means that all the sample bicyclists will eventually take both treatments so that we can compare the effects of both white and dark chocolate on the distance traveled in meters.According to the statistics, it shows that adding dark chocolate to your diet can be beneficial. First, we should compare the p-values of white chocolate and dark chocolate. The white chocolate p-value was .319, and the dark chocolate p-value was .001. The significance level that was given to us in this problem was .05. Because the p-value for dark chocolate (.001) is below the significance level of 0.05, our results are statistically significant. This means that we have reasonable evidence to reject the null and conclude that dark chocolate improves the distance traveled for male cyclists.