Two students collected data on random baseball player run-times. players were required to run 50 yards and were timed in seconds (pitchers did not have to run). assume that the distribution of each population (outfielders, infielders, catchers) is close enough to normal to satisfy the normal condition for using anova. test the hypothesis that different positions have different mean run-times, using a significance level of alpha= 0.05. click the icon to view the run times. let mu out represent the mean outfielder run time, let gin represent the mean infielder run time, and let goat represent the mean catcher run time. determine the null and alternative hypotheses. what is the test statistic? f = (round to two decimal places as needed.)