BME100 f2015:Group7 1030amL2

BME 100 Fall 2015	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
OUR TEAM Name: Carson Minarik Name: Haley Archambault Name: Hannah Graff Name: Courtney Gadbois Name: Elizabeth Meneses Name: Thalia Dinh LAB 2 WRITE-UP Descriptive Statistics Experiment 1 Human Trials LPS Dosage: 0mg- Average inflammation: 3.834 pg/mL Average age: 66.7 yrs Standard Dev: 1.523 pg/mL Standard Error: 0.482pg/mL 5mg- Average inflammation: 8.932 pg/mL Average age: 68.1 yrs Standard Dev: 1.594 pg/mL Standard Error: 0.504 pg/mL 10mg- Average imflammation: 61.622 pg/mL Average age: 68 yrs Standard Dev: 30.11 pg/mL Standard Error: 9.52 pg/mL 15mg- Average inflammation: 657.941 pg/mL Average age: 67.9 yrs Standard Dev: 212.94 pg/mL Standard Error: 67.3pg/mL Experiment 2 Rat Trials Dosage: 0mg- Average inflammation: 10.516 pg/mL Standard Dev: 2.226 pg/mL Standard Error: .995pg/mL 10mg- Average inflammation: 11.112pg/mL Standard Dev: 7.403 pg/mL Standard Error: 3.31pg/mL Results Experiment 1 ‎Experiment 2 Analysis There is a difference in the rat testing and the human testing. Experiment 1 The Anova test was used because there are more than two groups being compared. Human Anova Test: P-Value:1.40E-16 With a significance of less than .05, this means that the data is statistically significant. As LPS dosage is increased by 5 mg, the average pg/mL of inflammation is increased. However, so is the standard deviation. Since the p-value is less than 0.05, we can infer that the data is statistically significant and as LPS dosage increases, therefore better results in the inflammation should be seen. The Bonferroni Correction testsis used to see the error that occurs with multiple comparisons. Post-Hoc Test 0mg vs 5mg t-test value=8.596E-7 0mg vs 10mg t-test value=9.943E-6 0mg vs 15mg t-test value=1.394E-8 5mg vs 10mg t-test value=3.019E-8 10mg vs 15mg t-test value=6.482E-8 All of the t-tests show that they are significant because the corrected p-value is 0.0125. All of the t-test values are in fact smaller proving that they are significant. Experiment 2 The T-test was used because there are two groups being compared. Rat unpaired T-Test: p=.87 With a p-value of .87 means that there is not much significance within the data sets. As LPS dosage is increased from 0mg to 10mg, there was not a significant difference between the average pg/mL of inflammation. The standard deviation was small for each result. Since p=.87, the results are not statistically significant and that increasing the dosage does not have a difference in rats. Summary/Discussion Experiment 1: The data shows that when the dosage of LPS was increased the inflammotin also increased in humans. There is a 95% confident that LPS increases inflammotin. The average inflammation of 0mg was 3.834 pg/ml. The average inflammation of 5mg was 8.932 pg/ml. The average inflammation of 10mg was 61.622 pg/ml. The average inflammation of 15mg was 657.941 pg/ml. Experiment 2: The data shows that when the dosage of LPS was increased their was no significant difference in the rats inflammotin. The average inflammation of 0mg was 10.516 pg/ml. The average inflammation of 10mg was 11.112 pg/ml. Experiment 1 & 2: Humans and rats react differently from the dosage. Increasing the dosage affects humans in the fact that inflammation increases. Increasing the dosage does not have a significant affect in the rat's inflammotin.