BME100 s2014:T Group6 L1

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BME 100 Fall 2013 Home
Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6
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Name: Mark A. Keppler
Name: Mark A. Keppler
Name: Rayan S. Altayyar
Name: Rayan S. Altayyar
Name: Brittani M. Ogden
Name: Brittani M. Ogden
Name: Nicole D. Fisk
Name: Nicole D. Fisk
Name: Doan-Nhi T. Tran
Name: Doan-Nhi T. Tran


Independent and Dependent Variables

The independent variable is amount of lipopolysacharide given to patients in milligrams. The dependent variable is the concentration of the protein Inflammotin collected from the patients blood supply.

Experimental Design

Control Group; 10 mg Group; 5 mg Group; 1mg Group;

55-65 years of age

Number of subjects per group
10 Subjects per group

Subject Selection

We are looking for 50% females and 50% males and minimal pre-existing conditions (subjects should have similar health issues). Population should be between 55 and 65 years of age. Nationality will not be a factor for exclusion. The population should be mixed upon arrival to randomize each test group.

Sources of Error and Bias

Bias can arise during the selection process if certain pre-existing conditions are chosen without making certain that the reasoning process is objective in nature. To minimize the biases associated with pre-existing conditions we will be attempting to only select patients who have no conditions at all. If this turns out to be not feasible we will choose only populations that have the same conditions. An age bias could arise based on the viability of the population group. Elderly patients do not have a large span of time left by which we may be coerced into choosing younger populations. To avoid selecting subjects the groups should be randomized prior to organizing test groups. This ensures that no goups were selected because they were belived to be better candidates for the test. Age selection could be avoided by randomization.

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