Purpоse Stаtement: Tо exаmine the effect оf repeаted bouts of acute eccentric exercise on muscle damage in healthy athletes. A researcher wants to understand how acute repeated bouts of eccentric exercise might affect delayed onset of muscle soreness (DOMS). To test out this theory, the reseachers first measured the participants' baseline (pre) level of C-Reactive Protein (CRP), which is a marker of inflammation due to muscle damage. The researcher then prescribed 2 sessions of acute eccentric exercise over 1 week and measured CRP following each exercise session, resulting in the measurement of CRP over 3 time points: (1) baseline (pre-season), (2) session 1 (mid-season), and (3) session 2 (post-season). State the null and alternative hypotheses. (2 pts) State the Dependent variable (1 pt) State the Independent variable (1 pt) What statistical test would you perform to answer the above research question? Why would you choose this statistical test/analysis? (2 pts) Is there a need to test for the assumption for the Homogeniety of Variance? Why yes or why no? (1 pt) State the alpha-value (1 pt) By interpreting the SPSS output below, was there was a main difference in CRP across the seasons? (1 pt) WHICH statistic from the SPSS output did you look at to determine if this difference was significant or not significant? (1 pt) Based on this statistic, what logical decision would you make with regards to the null hypothesis? (1 pt) Why is there a need to perform pairwise comparisons after a main difference has been detected? (1 pt) A Bonferroni correction is typical performed when there are multiple post-hoc comparisons. Based on the number of pairwise comparisons, calculate the new alpha-value. (1 pt) The alpha-value is set as a level of tolerability for committing Type 1 error. Define Type 1 error. (1 pt) table-descriptive-statistics.png RMANOVA SPSS output.png table-post-hoc.png