There was a total of thirty-nine participants breaking off into four groups total. Nine participants in the groups of soccer, lacrosse, and basketball players. Twelve participants in a group of softball/baseball players. All the group participants were tested and compared to each other based on the number of concussions in each group. The determined analysis performed on each group was a one-way ANOVA test. A one-way ANOVA analysis was used because we have one independent variable with more than two levels and one dependent variable. The results are soccer has a mean of 38.8 and a standard deviation of 14.5, lacrosse has a mean of 11.7 and a standard deviation of 7.19, and basketball has a mean of 20.22 and a standard deviation of 7.06, and softball/baseball has a mean of 9.0 and a standard deviation of 5.13. We used a Shapiro-Wilk test to test for normality. The results from the table were the p-value for soccer (.85), lacrosse (.08), and basketball (.47) which shows that they are normally disturbed, whereas softballbaseball (.04) shows that it is not normally distributed because it has a lesser value than .05. Using the test of homogeneity of variance, the assumption of equal variances is violated since the p-value (<.001) is below .05. The one- way ANOVA test resulted in: [F (3,35) = 21.85, p = <001. Since the p-value is less than .001, we will reject the null hypothesis because this indicates that there was an effect. The difference in the number of concussions according