# BME100 f2014:Group20 L2

BME 100 Fall 2014 | Home People Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3 Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6 Course Logistics For Instructors Photos Wiki Editing Help
| ||||||

## Contents## OUR TEAM## LAB 2 WRITE-UP## Descriptive Statistics
Average per Dose- 0 mg= 3.834 pg/ml 5 mg= 8.932 pg/ml 10 mg= 61.622 pg/ml 15mg= 657.941 pg/ml
Standard Deviation per Dose- 0 mg= 1.52 5 mg= 1.59 10 mg= 30.11 15 mg= 212.95
Standard Error per Dose- 0 mg= 0.48 5 mg= .50 10 mg= 9.5 15 mg= 67.34
Average per Dose- 0 mg= 10.52 pg/mg 10 mg= 11.11 pg/mg
Standard Deviation per Dose- 0 mg= 2.23 10 mg= 7.40
Standard Error per Dose- 0mg= .995 10mg= 3.31
## Graphs
## Inferential Statistics
P-value = 0.8120 Our p-value is not less than 0.05 and indicating the difference between groups isn't statistically significant.
## Summary/DiscussionThe drug, Lipopolysaccharide, had a significant effect on the subjects in the human experiment; when the doses passed the 5mg mark, the relationship between doses and Inflammotin levels appeared to be exponential, as the growth of the Inflammotin levels increased at a significantly higher rate for every subsequent addition of 5mg to the previous dose. The p-value we calculated from the 1-way ANOVA test of the relationship between dosage and the Inflammotin levels in humans is 1.11 x 10^-16, and that value being so small indicates a statistically significant relationship between the dosage and Inflammotin levels. Regarding the rat experiment, the Inflammotin levels did not seem to have any correlation to doses did, however, it should be noted that the standard deviation was much larger in the 10mg experiment compared to the 0mg. This means that when rats are given LPS, their Inlammotin levels will likely stray from their natural levels. The-p value calculated for the rat experiment was 0.8120; because the p-value is greater than the standard 0.05, there is no statistical difference between groups. In this test, the mean of Inflammotin levels in the rats minutely increased between no dose and the highest dose by 6% , whereas, in the human experiment it increased by a whopping 17061%; indication that there was a significantly different result from the two tests. This might suggest some intrinsic difference in rat biochemistry and human biochemistry, perhaps even an issue of scaling that is not easily perceived right now. This leads us to believe that it might also be age-related, and reduced amount of Inflammotin in the elderly could allow for larger growths as shown in the graphs. Perhaps, for this reason, rat age might have been necessary to measure to show the issues properly. It becomes important to note the ages of the patients in the human test and whatever effect that could have caused. While those prescribed 0 mg had a mean of 70 years old and a Std. Dev of 4.372, 5 mg had 67.44 +/03.643822 yo, 10 mg had 68+/- 8.02772972 yo, and 15 mg had 69.6 +/- 7.40535521 yo. This shows that in general the patient group was good, in that they all were of similar age. It's forth noting that some of the higher groups had higher age variance, which might explain some part of the higher standard deviations in that case. |