BME100 s2014:T Group2 L2
Lab 2 Write-up
Descriptive Statistics
The mean displays that as the dosage of LPS increases, inflammation among patients does as well. The following data demonstrates the positive correlation between the two.
Human Dosage Data
| Average | Standard Deviation | Standard Error | |
|---|---|---|---|
| 0mg | 3.384 | 1.523 | 0.1523 |
| 5mg | 8.932 | 1.5934 | 0.1594 |
| 10mg | 61.622 | 30.110 | 3.0111 |
| 15mg | 657.941 | 212.943 | 21.2943 |
Rat Dosage Data
| Average | Standard Deviation | Standard Error | |
|---|---|---|---|
| 0mg | 10.516 | 2.226 | 0.4451 |
| 10mg | 11.112 | 7.403 | 1.4806 |
Graphing
See blackboard.
Inferential Statistics
In order to test this data we used both the ANOVA test and a t-test to determine variance and significance. When comparing the data obtained from human subjets, since there was more than one group we used the ANOVA test. And while comparing the rat data a t-test was used since there is only two levels of dosage. The ANOVA concluded that the data was significant since the p-value was very low. Also a t-test comparing each of the different dosage revealed that even after a Bonferetti correction the values were still low enough to be considered significant for humans. While the t-test for rats showed that the data was insignificant, since the p-value was too large when comparing the two dosages.
Summary
The dosage was increased within each experiment for humans and rats. For humans the amount of inflammation increased along with dosage. However with rats, their inflammation stayed relative regardless of dosage. From 0mg to 10 mg, rats only was a .596 pg/ml increase, while same range in humans had a 57.788 increase in inflammation. The discrepancy could be attributed to the larger sample size in humans, or it can be due to the factor of the high human age. The data shows they are more susceptible to inflammation than rats.
