For the human data we ran the ANOVA test; however, we did not run this test for the rat data. The reasoning for running the ANOVA for the human data was due to the fact that there were more than two variables being tested. The ANOVA test showed that the p-value was less than .0833 (adjusted α value due to the number of comparisons, .05/6), which was 1.4*10^-16; therefore, there was a significant change when the dosages were changed. Following this test, the Post-hoc test was run for every different combination of two dosages. This test showed that every combination was statistically significant.
Experiment 2 (Rat)
In the rat data we only had two variables being tested (0 mg and 10 mg); therefore, only the t-test was run, which is a test between two sets of data as seen above in red for 0mg and blue for 10mg. This test showed that the p value was .867, which is greater then the α value of .05 which shows that there was no significant difference between inflammotin levels.
Summary/Discussion
Experiment 1 (Humans)
The data showed that there is a significant difference between all the dosages. From 0 mg to 5mg there was already a significant difference but the difference between 0 mg and 15 mg had the greatest significant increase in Inflammotin. The experiment’s goal was to find the lowest dosage that would increase Inflammotin so that would be 0 mg to 5 mg. The data from the human experiment is valid because it passes the ANOVA test and the Post hoc test in terms of the p value.
Experiment 2 (Rat)
The data did not show significant difference between the 0 mg dosage and the 10mg dosage. The 10 mg dosage had a large amount of error and deviation. This is proven by the t test where the p value was significantly greater than .05. All in all for human experiment there was more success and clarity in the results.
BME 100 Spring 2016
