BME100 f2014:Group34 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 TEAMLAB 1 WRITE-UPIndependent and Dependent VariablesThe independent variable is the inflammation inducing agent, lipopolysaccharide or LPS, because we are varying the amount of drug to affect the levels of Inflammotin. The dependent variable is inflammatory protein, Inflammotin, because the levels of this protein vary, or depend on, the amount of LPS in the bloodstream. Experimental DesignGroups
Age
Subject SelectionSubjects will be randomly selected healthy 65 year old males, this is to ensure that a gender variable will not alter the experiment in any way. We have also chosen healthy males in the sense that they either have healthy diets, exercise routinely, and are disease free. This will allow our data to have a positive correlation and ensure our results are accurate. In order to keep all but one of the variables constant, our test subjects will all need to have the same blood type. Different blood types may have different reactions to the drug and that is not the focus of this experiment. If we would have chosen subjects randomly, many outside factors including age, disease, and poor dieting could have a negative correlation on our results.
Sources of Error and BiasA bias in this experiment is such that we are using only male subjects, thus the results could be different with women. It is also important in the design of an experiment to keep all but one variables constant, including the gender of the test subjects. A potential source error is using increments of 2mg in measuring the LPS, which could yield less accurate data. We could correct this error by using more groups and/or use increments of 1.Our options were limited, however, since we are in fact on a budget. Another source of error could be with ELISA having mechanical errors which would effect the data collected. This error however, is beyond our control and is subject to the limitations of the technology. A third source of error could include the uncontrollable variance in the strength and efficiency of each of the subject's individual bodily systems, such as the circulatory, nervous, and excretory systems. Such variance could definitely skew data.
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