BME100 f2014:Group20 L1

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 LAB 1 WRITE-UP Independent and Dependent Variables IV- Amount of lipopolysaccharide (mg) DV- The inflammatory protein(Inflammotin) measured in the blood samples using ELISA Experimental Design 1 Post notice for the experiment, attempting to include all strata of society in the age group 65 and older. 2 Conduct a prescreening to ensure that all test subjects are in good enough health for the experiment/have no conditions that affect protein levels.. 3 Randomly assign each test subject to a group by putting an equal number of A, B, C, D, and E in a hat, and having each test subject draw a treatment. 4 Then put all test subjects for each group together by age. 5 Conduct experiment with each group and collect the measurement of Inflammotin for each individual in all of the groups after the expected time required to have largest increase in the protein 6 Take the experimental data and use a one-way ANOVA test to see if the test is statistically significant. 7 If the data is significant, run Bonferroni Corrections to see what the minimum amount of pill dosage would be necessary for a statistically significant change in the Inflammotin. Groups Control Group- Zero mg of lipopolysaccharide to assure the placebo effect does not play a role in the results (pill A) Experimental Group- 2 mg of lipopolysaccharide given (pill B) 4 mg of lipopolysaccharide given (pill C) 6 mg of lipopolysaccharide given (pill D) 8 mg of lipopolysaccharide given (pill E) Age All test subjects must be 65 or older. Number of subjects per group Sample number should be 10, so that we can have adequate sampling, while still keeping costs within reason due to our limited budget. Subject Selection There is a prescreening to determine if any health conditions a participant may have would skew the results of the experiment, if so, that participant wold be dismissed. Randomly assign each test subject to a group by putting an equal number of A, B, C, D, and E in a hat, and having each test subject draw a treatment. The test subjects will then be pooled together in a way that is age-group specific. Sources of Error and Bias Some sources of error could include gender, health complications that affect proteins in the blood, machine error and age. To control gender, make sure the selection process is completely random, and be sure that sample sizes are large enough to get an accurate depiction of the population. To control health complications that affect proteins in the blood, conduct a prescreening to ensure that all test subjects are in good enough health for the experiment. To control machine error, be sure to calibrate prior to each measurement of Inflammotin. Also, take multiple blood samples from each test subject, run the process and take the average. To control age, the test subjects will be categorized by age during the observation period so as to not skew the results of the experiment and the effect of each dosage of lipopolysaccharide on the measurement of Inflammotin. To limit experimenter bias, the experiment will be conducted as a double blind. The experimenter who distributes the treatment and the experimenters who makes observations will be different to ensure that neither the subject nor the experimenter nor the subject knows which treatment was administered.