BME100 s2014:W Group1 L2
BME 100 Spring 2014  Home People Lab WriteUp 1  Lab WriteUp 2  Lab WriteUp 3 Lab WriteUp 4  Lab WriteUp 5  Lab WriteUp 6 Course Logistics For Instructors Photos Wiki Editing Help  
ContentsOUR TEAMLAB 2 WRITEUPDescriptive StatisticsExperiment 1 Average Standard Deviation Standard Error 0mg 3.834 1.523010177 0.481618106 5mg 8.932 1.593931547 0.504045412 10mg 61.622 30.11069386 9.521837451 15mg 657.941 212.9429762 67.33848166 Experiment 2 Average Standard Deviation Standard Error 0mg 3.834 1.523010177 0.481618106 5mg 8.932 1.593931547 0.504045412 10mg 61.622 30.11069386 9.521837451 15mg 657.94 212.942976 67.33848166
ResultsExperiment 1
Experiment 2
AnalysisExperiment 1
Experiment 2
Summary/DiscussionThe rat experiment was rather inconclusive. The TTest shows there is not a significant statistical difference between the trial of zero milligrams and ten milligrams. This is probably due to the fact rats are much smaller and less tolerant to drugs than humans because of physical proportionality. The test was able to be done on humans because the increase in dosage did show a large increase in inflammotin production. However the rats were inconclusive because the statistical difference was too sporadic. Some rats showed excessive responses while other did not respond which led to the statistical insignificance of the experiment. In the human study, standard deviation increases as the dosage increases. The highest standard deviation is a measure of 212.4 when the dose was 15 mg. Zero Mg of LPS does show the lowest deviation. Standard error also increases with the dosage. After running the ANOVA test, the results show that there is a significant statistical difference between data sets within and between each group (p values were below 0.05). Since the results were positive, a T Test was run. The adjusted p value during this test is 0.0083. After the multiple comparisons between each group, p values were all below 0.0083. The effects of LPS Dose and the production of Inflammotin are statistically significant in this experiment.
