BME100 f2015:Group12 8amL1

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 Error creating thumbnail: File missing Name: Krystal SChmitt Error creating thumbnail: File missing Name: Ashwin Krishnadoss Error creating thumbnail: File missing Name: Ladan Kamali Sarvestani Error creating thumbnail: File missing Name: Nathan McAdams Error creating thumbnail: File missing Name: Fangchi Shao Error creating thumbnail: File missing Name: Matthew Levins LAB 1 WRITE-UP Independent and Dependent Variables Independent variable: Lipopolysaccharide - dosage of inflammation inducing agent Dependent variable: Level of Inflammotin - an inflammatory protein Experimental Design Groups Number of groups: 5 Group 1 will receive a dosage of 10 mg of Lipopolysaccharide Group 2 will receive a dosage of 8 mg of Lipopolysaccharide Group 3 will receive a dosage of 6 mg of Lipopolysaccharide Group 4 will receive a dosage of 4 mg of Lipopolysaccharide Group 5 will receive a dosage of 2 mg of Lipopolysaccharide Where group 1 is our control group. The level of inflammotin of each subject should be measured before and after receiving the dosage. This experiment should be done daily for a total of two weeks. Age The subjects age in the experiment should range from 65-70. Number of subjects per group Subject per group: 10 Subject Selection The selection of participants should be randomized using a random number generator with the condition that they are within the age requirement. Sources of Error and Bias Sources of Error Subjects with preexisting conditions Subjects taking other medication The difference in subjects' age Gender of subjects Subjects life style (diet and exercise) Subjects ethnicity Subjects could build a tolerance to Lipopolysaccharide Sources of Bias Our expectation of a higher dosage will result in higher inflammation levels could potentially influence our data analysis. Disregarding data that does not agree with the trend we expect. How to control our sources of error and bias Make sure the subjects are randomized. Make sure subjects don't have preexisting conditions and/or are on medication that could effect their levels of inflammotin. Do limit the effects of error due to subjects age we should use a small age interval. We should make sure we don't run the experiment too long so participants don't build a tolerance to the drug. We should be open to any and all possible result and/or outcomes. Don't disregard data to agree with our expectations.