BME100 s2014:W Group19 L1

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: Andrew Carlson Name: Gareth Palas Name: Stacy Stoddard Name: Joshua Martin Name: Jose Elenes Name: Joshua Hislop LAB 1 WRITE-UP Independent and Dependent Variables The independent variable is the amount of lipopolysaccharide given to the elderly; the independent variable is the amount of the Inflammotin protein found in the elderly subsequent to treatment. Experimental Design Groups Four separate groups will be tested. There will be a control group given a placebo. A second group will be given a 3mg dose of lipopolysaccharide, the third group, a 7mg dose, and the fourth, a 10mg dose. Age Because the agent is specifically being tested for the elderly, the ages of the selected subjects will not be younger than 65. Also, they will not be older than 75 due to increased medical issues. Number of subjects per group Each group will contain 25 participants, for a total of 100 participants. Subject Selection Subjects of retiring age and older will be chosen; no individual older than 75 will be chosen, due to increased incidence of conflicting medical issues among those of age >75. There will be no distinction as to race or gender among the subjects chosen; as diverse a population as possible will be chosen in this regard. Sources of Error and Bias Discrepancies between relative body weight and composition, concurrent medications, and differing lifestyles will cause variations in the data gathered. Genetic predispositions, environmental factors, and different rates of metabolism between the participants will also affect the data. Most of these discrepancies can be eliminated through greater sample sizes. Larger sample sizes more accurately reflects the elderly population as a whole, and, in return, one could more accurately determine if the treatment is effective. If greater funding were provided for the experiment, larger sample sizes could be possible. would more accurately reflect the elderly population as a whole. Bias could be caused if the parameter of interest, or the elderly, was not random. For example, if only elderly women were chosen for the treatment, the experiment would be biased.