BME100 f2014:Group10 L2

BME 100 Fall 2014	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: Meredith Bothman Name: Dawei Jiang Name: Cera Lange Name: Steven Nguyen Name: Brett Pinar Name: Eun Duk Seo LAB 2 WRITE-UP Descriptive Statistics Human Study Mean amount of inflammotin produced Dosage 0 mg 5 mg 10 mg 15 mg Mean 3.834 mg 8.932 mg 61.622 mg 657.941 mg Variability within test groups Dosage 0 mg 5 mg 10 mg 15 mg Standard Deviation 1.523 1.594 30.111 212.943 Standard Error 0.482 0.504 9.522 67.338 Rodent Study Mean amount of inflammotin produced Dosage 0 mg 10 mg Mean 10.516 mg 11.112 mg Variability within test groups Dosage 0 mg 10 mg Standard Deviation 2.226 7.403 Standard Error 0.995 3.311 Results Human Study bars denote significance Rodent Study Analysis Human Study A one-way ANOVA was used to determine significance since the data is single-factor and has several groups. ANOVA results; p-value: 1.4 x 10^-16 Based on the p-value from our ANOVA test, we can determine that the difference in the results is significant since the p-value was small Bonferroni Correction To be statistically significant, the p-value must be less than 0.00833 Post-Hoc Tests P-value Significant? 0 mg vs. 5 mg 8.59631E-07 yes 0 mg vs. 10 mg 9.94377E-06 yes 0 mg vs. 15 mg 1.39436E-08 yes 5 mg vs. 10 mg 3.01859E-05 yes 5 mg vs. 15 mg 1.57101E-08 yes 10 mg vs. 15 mg 6.4824E-08 yes This shows that a statistically significant difference exists between all dosages. Rodent Study A t-test was used to determine significance since the data is single-factor and has more than two groups. t-test result: .8674035 Based on our result from the t-test, we can determine that the difference in results is not significant. Summary/Discussion The data showed that increased dosages of LPS increased inflammotin in humans in exponentially increasing increments based on dosage. Lipopolysaccharide had no effect during the rodent trials. This data shows that a greater amount of dosages should have been tested on rats. The lack of responsiveness from the rats could have been taken as a sign of the ineffectiveness of the drug, and its benefits to humans could have been overlooked. This data shows that different medications and treatments can have different effects on different organisms, so in vitro testing is extremely important to ensure that medications that can treat humans are not dismissed because of their lack of effectiveness in rodent studies.