The Most Significant Differences In Sports

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Since the ANOVA revealed a significant difference between sports, an analysis needed to be accomplished to see what specific groups were different from one another. In an effort to determine which sports were significantly different from one another, a post-hoc analysis was applied using the least significant differences (LSD) comparison Table 10 list the relationships between individual sports as they relate to changes in GPA. Students partaking in boys’ basketball had lesser improvements in GPA than did students participating in football and outdoor track. Boys partaking in male outdoor track had better academic increases than boys take part in basketball and football. The academic achievements of football were fewer than that of male …show more content…

If a difference was discovered to be negative, this would imply that on average the sport listed in column “Sport (B)” would have a higher difference in GPA score when related to the sport in column “Sport (A)”. Conversely, if the difference between GPA scores was positive, this signify that the sport in column “Sport (A)” would have a higher variation in GPA scores from during the season to after the season when related to the sport type in column “Sport (B)”.
Table 10
ANOVA Results for the Complete Dataset of Student Athletes GPAs while Participating in Other Type of Sports Compared to Basketball Junior Student Athletes_____________
Sport (A) Sport (B) Difference SE P____
Boys Basketball Football .1050 .08390 …show more content…

Students that take part in boys’ basketball would have on average a GPA score that would be .030 units lower than students that play a part in football (the boys’ basketball GPA scores would decrease after the season was completed, whereas the football scores would increase after the season was concluded).
To ensure that further analysis was executed, junior male student athletes were chosen impartially of other participants. The results offered in Table 11 establish that the type of sport the junior male student athletes partook in had a significant effect on differences in
GPA scores [F(1,14) = 0.166. p < .05]. The results implied that different sports contribute significantly to the variation between the differences in GPA scores.
Table 11
ANOVA Results for the Complete Dataset of Female and Male Students.
Source SS df MS F Sig. n2
Sport 0.049 7 .040 0.166 .005

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