BME100 f2015:Group4 1030amL1

BME 100 Fall 2015	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: Christa Deckman Name: Gabrielle Mills Name: Ngan Nguyen Name: Dylan Bonch Name: Evan HIggs Name: Niel Restogi LAB 1 WRITE-UP Independent and Dependent Variables The independent variable is the dosage of the lipopolysaccharide and the dependent variable is the protein level (Inflammotin). The latter variable will be measured by ELISA and using blood samples. Experimental Design After assigning the subjects to the six groups in the procedure described in question 3, the respective dosages should be given to each group within the appropriate time intervals for a total of three months. The protein levels will be measured within each subject with ELISA at the beginning of the experiment, before taking every new dosage at each time interval, and at the end of the experiment. The control group will have their protein levels measured at the same time as the other experimental groups. Groups There will be six groups in this experiment receiving the doses of 0mg (the control group), 2mg, 4mg, 6mg, 8mg, and 10mg. Age The subjects will vary between the ages of sixty-five to seventy-five Number of subjects per group Within each group, there will be twelve subjects studied and observed for protein level growth. Seventy-two subjects will be observed in total. Subject Selection Gather a group of 36 men and 36 women between the ages of sixty-five and seventy-five, splitting them into two groups by gender. Assign each man a different number between 01 and 36, and assign each woman a different number between 37 and 72. Using a random number generator, select three numbers between 01 and 36 and three numbers between 37-72 for the first sample group which will receive 0mg of lipopolysaccharide. Repeat this procedure for the following five groups, sampling without replacement. Sources of Error and Bias One potential source of error or bias that could affect the results is the demographics of the elderly. The results could be skewed if the elderly were all pulled from one location. In order to combat this bias, the elderly will need to be gathered from different locations around the nation. Another potential source of error or bias is the existing conditions of health and inflammatory diseases in the elderly such as arthritis, gout, and lupus. To combat this, the groups should have a consistent number of elderly subjects with similar existing conditions. A final source of bias may derive from the differences in the body masses of the subjects. In order to control this, the body mass should be measured by calipers, and the groups should vary within by size.