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 Name: Your name Name: Your name Name: Your name Name: Your name Name: Your name 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 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. Groups Control Group- Zero mg of lipopolysaccharide to compare when none is given in the form of a placebo (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 greater than 7. Subject Selection 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. Sources of Error and Bias Some sources of error could include gender, health complications that affect protiens 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. 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 given.