0mg: Average: 10.52 pg/ml Standard error: 1.00pg/ml Standard Deviation: 2.23pg/ml
10mg: average: 11.11pg/ml Standard Error: 3.31pg/ml Standard Deviation: 7.40pg/ml
Results
See PDF
Analysis
Experiment 1:Human Study
We used an ANOVA because there is more than two groups. The ANOVA let us know that their was significant data.
Aside from using the ANOVA test, we also used a t-test to compare each group specifically to each other. ANOVA P-value: 1.4*10^-16 T-Test P-value: 0-5mg: 1.43*10^-7 0-10mg: 1.66*10^-6 0-15mg: 2.32*10^-9 5-10mg: 5.03*10^-6 5-15mg: 2.62*10^-9 10-15mg: 1.08*10^-8
All the p-values are lower than .05, showing that all the comparisons are significant.
Experiment 2: Rat Study
The T-test was used because only two groups were used for comparison in this study.
P-value: .86 This value shows that it is not significant because it does not meet the .05 significant p-value
Summary/Discussion
There was no significance in the rat study, the human study however had complete significance. It is possible that the rats did not respond to LPS because they do not have the genes that code for inflammotin production. Since there was no significant statistical difference in rats, then it does not seem logical to attempt human trials of LPS. For the human test, with each increasing dose, the amount of inflammotin changed exponentially.
BME 100 Fall 2013
