BME100 s2014:W Group4 L2

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
OUR TEAM Name: Matthew Gerveler Name: Kevin Virgen Name: Catherine Scarborough Name: Dirk Marshall Name: Rachel Baca LAB 2 WRITE-UP Descriptive Statistics Experiment 1 Average: 0mg: 3.834 5mg: 8.932 10mg: 61.622 15mg: 657.941 Standard Deviation: 0mg: 1.523010177 5mg: 1.593931547 10mg: 30.11069386 15mg: 212.9429762 Count: 0mg: 10 5mg: 10 10mg: 10 15mg: 10 Standard Error: 0mg: 0.481618106 5mg: 0.504045412 10mg: 9.521837451 15mg: 67.33848166 Experiment 2 Average: 0mg: 10.516 10mg: 11.112 Standard Deviation: 0mg: 2.225551617 10mg: 7.402885924 Count: 0mg: 5 10mg: 5 Standard Error: 0mg: 0.995296941 10mg: 3.310671231 Results Experiment 1 ANOVA-Human Analysis of Variance (One-Way) Summary Groups Sample size Sum Mean Variance LPS Dose 40 300. 7.5 32.05128 Inflammotin (pg/ml) 40 7,323.29 183.08225 88,290.32619 ANOVA Source of Variation SS df MS F p-level F crit Between Groups 616,582.5303 1 616,582.5303 13.96209 0.00035 3.96347 Within Groups 3,444,572.7215 78 44,161.18874 Total 4,061,155.2518 79 Post - Hoc T-Test Corrected P- Value To Achieve Sig Significant? 0mg vs 5mg 8.59631E-07 0.0083 YES 0mg vs 10mg 9.94377E-06 0.0083 YES 0mg vs 15mg 1.39436E-08 0.0083 YES 5mg vs 10mg 3.01859E-05 0.0083 YES 5mg vs 15mg 1.57101E-08 0.0083 YES 10mg vs 15mg 6.4824E-08 0.0083 YES Anova was used because four groups were compared (more than two) ‎Experiment 2 Rat T - Test = 0.867403497 not significant T-Test was used because only two groups were being compared Analysis Experiment 1 Based on the fact that the Anova test resulted in a p-value less than .05 (actual value=.00035), we determined that there was a statistical significance of the data in the human groups. Using the Bonferoni test and the corrected p-values compared to the T-test, we found that our data was less than .0083, meaning they were all significant. Experiment 2 Based on our T-test value of .87, we found that there was no significance because the data was greater than .05. Summary/Discussion Based on the ANOVA test for the human subjects it was determined that the data was statistically significant, while the high p-value determined by the t-test for the rat subjects showed that the statistical information for this set of subjects was insignificant. After performing a Bonferroni correction for all the human sample groups, it was determined that all the differences in dosages of the drug were statistically significant. Based on this information, it can be concluded that taking five to fifteen milligrams of the drug affects the Inflammotin levels in the elderly human population.