BME100 f2013:W1200 Group15 L1

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BME 100 Fall 2013 Home
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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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OUR TEAM

Name: Taylor
Role(s)Subject Selection
Name: Patrick McFarland
Role(s):Independent/Dependent Variables, how subjects are selected, and sources of error and bias
Name: Zac Roy
Role(s)Sources of error and bias
Name: student
Role(s)
Name: student
Role(s)
Name: Tameem Jamal
Role(s)

LAB 1 WRITE-UP

Independent and Dependent Variables

Independent Variable: lipopolysaccharide
Dependent Variable: Inflammotin




Experimental Design

Groups
Group 1: 0 mg lipopolysaccharide
Group 2: 3 mg lipopolysaccharide
Group 3: 6 mg lipopolysaccharide
Group 4: 9 mg lipopolysaccharide


Number of subjects per group
Each group will contain 10 subjects ranging from ages 65 to 75

Procedures
1. Collect the necessary materials in order to collect and analyze blood samples (ELISA)
2. Select the testing population
3. Break the testing population into four testing groups
4. For group 1 do not administer the drug
5. Observe the amount of Inflammotin produced and record the results
6. For group 2 administer 3 mg of lipopolysaccharide
7. Observe the amount of Inflammotin produced and record the results
8. For group 3 administer 6 mg of lipopolysaccharide
9. Observe the amount of Inflammotin produced and record the results
10. For group 4 administer 9 mg of lipopolysaccharide
11. Observe the amount of Inflammotin produced and record the results
12. Analyze the data and determine what the smallest dose to produce Inflammotin

Reasoning
The dosages 0,3,6, and 9 mg were chosen due to their itermediate values between 0 and 10, giving a wide array of results to analyze what the smallest dosage would be.




Subject Selection

Subjects will be chosen by:
-between 65-75 years of age
-they do not have any health conditions that would cause inflammation
-all applicants will be put into a pool, a computer will randomly select 40 of these subjects to be experimented on





Sources of Error and Bias

Some sources of error can result in injuries,different genetics, and environmental conditions. A source of bias could be the characteristics of the test subjects used in the experiment. Some ways to control these biases and errors are to keep the patients in a confined area, using health screenings, and randomizing the different patients that could be tested.