# BME100 s2014:W Group7 L2

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BME 100 Fall 2013 | 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
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## LAB 2 WRITE-UP## Descriptive Statistics
In this experiment, there was a study examining the levels of Inflammotin when treating with various dosages of LPS (0mg, 5mg, 10mg and 15mg), using humans as the test subjects. The average levels of Inflammotin within this test showed a significant margin between each dosage. For 0mg, the average was 3.834 pg/ml. The second dose's average (5mg) was 8.932 pg/ml. For 10mg, the average resulted in 61.622 pg/ml. The final and highest dosage of Inflammotin resulted in an average of 657.941 pg/ml. The standard deviation between the dosages of 0-15mg was 1.523010177 pg/ml, 1.593931547 pg/ml, 30.11069386 pg/ml and 212.9429762 pg/ml. The standard error between the dosages of 0-15 mg was 0.481618106 pg/ml, 0.504045412 pg/ml, 9.521837451 pg/ml and 67.33848166 pg/ml.
In this experiment, there was a study examining the levels of Inflammotin when treating with dosages of LPS (0mg and 10mg), using rats as the test subjects. The study showed a smaller significant margin between these two dosages. The averages were found as 10.516 pg/ml for 0 mg and 11.112 pg/ml for 10 mg. The standard deviation between the two dosages resulted in 2.225551617 pg/ml for 0 mg and 7.402885924 pg/ml for 10 mg. The standard error between the dosages of 0 mg and 10 mg was 0.995296941 pg/ml and 3.310671231 pg/ml.
## Results
In the rat study, there were only 2 groups. Therefore, only a t-test was needed to evaluate the p-values. The t-test value resulted in 0.867403497. This value is way above the 0.05 p-value needed to be considered significant. Therefore, the rat study results were not significant. In the graph of the rat study, the error lines were based off of the values of the standard deviation.
## Analysis
In this experiment, the human study used the ANOVA test in order to determine the difference between the dosages and the levels of inflammation. The ANOVA test was used because of the multiple dosages, four groups total. Due to the multiple groups, the test was issued to limit error. In this test, the corrected p-value was 0.0083 and all t-test values were lower than the corrected p-value, showing that there was a small value of error. This confirmed the study's hypothesis that changing the independent variable (dosage) will increase the dependent variable (protein).
In the rat study, the t-test was used because of the small sample size of the two groups. The t-test was appropriate for this test because only two groups were compared to find the means. The p-value is 0.05 and the t-test value was 0.87 which was greater than the p-value. This made the value insignificant because it was greater than the p-value.
## Summary/DiscussionThe experiment was used to test the correlation between the dosage of the LPS drug and the Inflammotin protein levels. There were two different types of subjects, rats and humans, that were tested on. This experiment overall resulted in a significant increase in protein levels as the dosages increased. However, the rat subjects did not always result in a significant increase in protein levels compared to other rat subjects with lower dosages of the drug. Whereas with the human subjects, there was always a significant difference of protein levels between the various dosages of 0mg, 5mg, 10mg and 15mg. During the experiment, two different tests were issued. The ANOVA test was used on the human subjects due to the multiple groups, four groups total. However, the rat subjects only had two groups, 0mg and 10mg. In this case, the t-test was used because of the comparison between only two groups rather than the ANOVA is used when comparing three or more groups. In the graphs, the error lines were determined through the values of the standard deviation of each subject. |