The heart and breathing rate measurements were analyzed for all subjects and averages and standard error were noted (Table 4,5). This data was visually represented in a bar graph to see potential trends (Fig. 1,2). These graphs show that the lowest rates occur at rest, peak as the egg is smashed, and then slowly declines over the next two minutes. Following, two One-Way Repeated Measures ANOVAs were run, to compare each of the five time intervals for heart and breathing rate. The ANOVA for heart rate was done for each of the five time-intervals (Fig. 3A) and, with equal variance assumed (Fig. 3B), produced a p-value of 5.12E16 (Fig. 3C), showing that there is at least one statistically significant group difference. The same analysis was run for breathing rate. In this case equal variance could not be assumed (Fig. 4A,B), thus the Greenhouse-Geisser results are reported with a p-value of 1.6E-5 (Fig. 4C). Bonferroni post-hoc analyzations were run for each ANOVA, in order to determine differences within each group (Fig. 5A,B). A one-tailed t-test was run to test the …show more content…
Literature suggests that this should be the case, as the stress response is primarily mediated by hormones, such as the cortisol or epinephrine (5). As is the case with endocrine-facilitated responses, they are much more drawn out and elongated, and so regardless of the relief or panic induced by the smashing of a boiled or raw egg, the stress response will be well underway, due to the 15 seconds of uncertainty leading up the smashing (6). This is further supported in the data, as all 10 t-tests run to look for differences in resting, pre, or post heart rates showed no statistically significant differences (Table 3), thus agreeing with the hypothesis that the state of the egg should have no effect on the