BME100 f2014:Group4 L2
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BME 100 Fall 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  
OUR TEAMLAB 2 WRITEUPDescriptive StatisticsExperiment 1 LPS on Inflammotin Average Experiment 2 LPS on Inflammotin in Rats LPS on Inflammotin
ResultsExperiment 1 In experiment 1 the average of LPS on inflammotin was documented. The average and the standard deviation were calculated with doses of 0mg, 5mg, 10mg, and 15mg on 10 trials. Below is a chart showing the average and standard deviations:
The 10 different trials had a different dosage of LPS. Using these data points, a more in depth table and graph was created and is shown in the Descriptive Statistics section.
AnalysisExperiment 1 In Experiment 1, the graph shows the averages of inflammotin in 0, 5, 10 and 15 mg dosages of LPS. What the graph tells us is that the imflammotin average is a lot higher in the 10 and 15 mg doses. The averages of imflammotin are really low in 0 and 5 mg doses. What this means is that the effect of LPS on inflammotin is greater in 10 and 15 mg doses. Experiment 2 Based on the information presented in the graph their seems to be a positive correlation in the average based on the dosage. It seems that age doesn't have a significant effect on the average of the flammotin protein in the participants but the increase in averages seemed to be within individuals in their 60s.
Summary/DiscussionBased off a similar problem from our last lab where we were given the problem of measuring protein on a budget, we were given data of the amount of LPS on inflammotin in both humans and rats. We used excel to help us calculate the average, standard deviation, endpoints, and standard error of the dosage and LPS on inflammotin proteins, which we used to create a visual demonstration using graphs. For the “LPS on Humans” graph and “LPS on inflammotin” graph, we would utilize the oneway ANOVA test because we are comparing more than two independent variables, which are 0mg, 5mg, 10mg, and 15mg. For the “LPS on Rats” graph, we would use the ttest because there are only two independent variables, which are 0mg and 10mg. Once the pvalue of the tests are calculated, we will be able to tell if there is or isnʻt a significant difference. If there is a significant difference, then a post test would be executed. Although everyone in the group is familiar with excel, this exercise exposed us to a possible experiment we might face in the future.
