|
OUR TEAM
LAB 2 WRITE-UP
Descriptive Statistics
Human Study
| LPS 0 mg |
Inflammotin Level
|
| Mean |
3.834 pg/ml
|
| Standard Deviation |
1.523 pg/ml
|
| Standard Error |
0.4816 pg/ml
|
| LPS 5 mg |
Inflammotin Level
|
| Mean |
8.932 pg/ml
|
| Standard Deviation |
1.5939 pg/ml
|
| Standard Error |
.0504 pg/ml
|
| LPS 10 mg |
Inflammotin Level
|
| Mean |
61.622 pg/ml
|
| Standard Deviation |
30.11 pg/ml
|
| Standard Error |
9.5218 pg/ml
|
| LPS 15 mg |
Inflammotin Level
|
| Mean |
657.941 pg/ml
|
| Standard Deviation |
212.9429 pg/ml
|
| Standard Error |
67.338 pg/ml
|
Rat Study
| LPS 0 mg |
Inflammotin Level
|
| Mean |
8.763 pg/ml
|
| Standard Deviation |
2.2256 pg/ml
|
| Standard Error |
0.7038 pg/ml
|
| LPS 10 mg |
Inflammotin Level
|
| Mean |
11.112 pg/ml
|
| Standard Deviation |
8.026 pg/ml
|
| Standard Error |
2.538 pg/ml
|
Results
Human Study
Error creating thumbnail: File missing
Significance
The line the runs across of each of the bars of the bar graph is there to represent the significance
which is found between all values on the graph.
- 0mg is significant to 5g, 10mg, and 15mg respectively
- 5mg is significant to 10mg, 15mg respectively
- 10mg is significant to 15mg
Rat Study
Error creating thumbnail: File missing
Analysis
Human Study
We chose to use a ANOVA test for this study because there where more than two test groups being studied. The ANOVA test yielded a p-value of 1.4x10-16, showing that p<.05. This indicates a significant correlation between the four test groups. Since there was significant correlation between these groups we had to to a post-test between each group. After doing 6 sets of T-tests(0mg vs. 5mg, 0mg vs. 10mg, 0mg vs. 15mg, 5mg vs. 10mg, 5mg vs. 15mg, 10mg vs. 15mg), we determined that there is statistically significant difference between all of the human study test groups. The Bonferroni correction states that this set of data needs a p-value less than .0083 and he p-value for this study is less than that. This means that there is enough evidence to conclude that the dosage of medicine had a effect on the patients levels of LPS.
Rat Study
We chose to do an unpaired T-test for this study because the two groups are tested with different pools of subjects.The T-test is implemented to see if there was a significant correlation between the 0mg and 5mg test groups in the amount of Inflammotin levels in the rats. The p-value of the T-test came out at .867, much larger than the .05 value needed to show statistical significance. This means that there is not enough evidence to conclude that the dosage of the medicine had a significant effect on the rats levels of LPS.
Summary/Discussion
Given the measurements of Inflammotin levels of both rats and humans, it is apparent that the LPS treatment was effective for the human subjects but not for the rat subjects. The human study showed a sharp difference between each of the different dosages while the rat study showed very little difference between the dosage changes. In the human study the mean value of Inflammotin levels increased proportionately to the raising dosage of LPS while in the rat study the mean value changed very little between the two dosages. As the dosage and Inflammotin levels increased for the human study, the standard deviation and standard error did as well. With a greater dosage comes a greater chance of variability of the effect the treatment has on different patients.
|
BME 100 Fall 2015
