BME100 s2014:T Group2 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 TEAMLAB 1 WRITE-UPIndependent and Dependent VariablesThe independent variable would be the dosage of the inducing agent, lipopolysaccharide (LPS). This would be the independent variable because the amount of dosage will differ between each group. The dependent variable will be the amount of Inflammation found in each subjects’ blood. This is dependent variable because it is reliant on the amount of LPS administered. Experimental DesignGroups
Number of subjects per group
Subject SelectionSubjects will be selected by age and prior experience with inflammation. Younger subjects below the required threshold can possibly skew the data. Whether the drug is successful or not, young individuals are unlikely to experience the presence of inflammotin because they lack the same medical issues as the older subjects within the age range.To avoid bias with medical history, subjects within the age range will be selected randomly to participate. Due to a low dosage of the drug lipopolysaccharide the experiment can be controlled by patients with a petite body type that allow the drug to circulate more. Bias can be avoided by diversifying the groups of subjects by mixing age and body mass. It's important to observe how the drug affects these parameters. The control of the experiment is measuring the effect of subjects who receive no pill. Comparing their results with those who’ve taken the drug will determine the effectiveness of lipopolysaccharide.
Sources of Error and BiasOne possible source of error is an improper measurement of the protein, i.e. a tainted blood sample. One bias would be the selection of subjects already highly likely to possess the protein. If the groups are not randomized by age, certain groups may respond more effectively to treatment skewing the data. As stated previously controls necessary would be selecting subjects with similar body types, and also selecting varying ages and sexes. Select subjects without knowing protein content.
|