STATISTICAL ANALYSIS

Statistical Analysis

[Name of the Institute]

Statistical Analysis

The statistical software, SPSS 17, was used in order to perform the analysis of the data. Results accompany, descriptive statistics (means ± SD). We have used one way ANOVA in order to compare the average or the means between three groups, which are (Acetaminophen - ACT, Aspirin - ASP, and Placebo - PLA). The variables used in each of these categories, includes, (stature, mass, age VO2 max, and peak power). Furthermore a post hoc test has been conducted in order to find out the possible discrepancy between any of the three groups, from the overall results. For the same categories we have also used the variables, which are time to exhaustion, max HR, end B [La] and mean PO and mean pain.

Results

For the 1st data set, which we have used, all of the variables have same results among all the categories as they all have higher proximity to each other's average results and all the p values, which are >0.05 affirms the assumption of equality of variance amongst the group. However as it can be seen in the multiple comparison table, the average results for VO2max and Peak Power are significantly different, as their p values < 0.05 on 95% confidence interval. Results can be seen in Table 1, Table 2 and Table 3.

For the 2st data set, which we have used, all of the variables, beside (Maximum HR), have significantly different results among all the categories as they all have no proximity to each other's average results and all the p values, beside Maximum HR, which are <0.05 denies the assumption of equality of mean amongst the group.

Furthermore by looking at the multiple comparison table, we could say that for exhaustion the average result of Aspirin and Placebo was statistically equal as their p value is >0.05. Similar can be said for the Mean Power and Mean Pain, as the results for Aspirin and Placebo is statistically equal, because their p value > 0.05. Results can be seen in Table 4, Table 5 and Table 6.

For the 3rd data set, the multi comparison analysis elaborates through the sig value of the Wilk's Lambda that significant difference exists in time between the three groups. The comparisons of pairs, separately, elaborates that significant difference exist between Acetaminophen and the two other groups, which are Aspirin and Placebo as their p value is <0.0. Furthermore we can also infer that there is a difference between Aspirin and Placebo, however it is in significant as the p value is <0.05. Post hoc analysis elaborates that the Placebo and Aspirin showed no significant differences between their average changes over times. However Acetaminophen showed a significant difference between other groups, in point of time. Results can be seen in Table 7.

References

Agresti, Alan (2007) Categorical Data Analysis. New York: Wiley.

Aitchison, John (2008) The Analysis of Compositional Data. London: Chapman and Hall.

Appendix

Table 1

 

Mean

SD

Stature

1.79

±0.038

Mass

69.44

±4.017

Age

64.06

±6.183

Peak Power

378.61

±22.70

Table 2

ANOVA

Sum of Squares

df

Mean Square

F

Sig.

Stature

Between Groups

.000

2

.000

.089

.915

Within Groups

.050

33

.002

Total

.051

35

Mass

Between ...