BME100 f2015:Group2 8amL1

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OUR TEAM

Name: Thuc Nguyen
Name: Stephen Lane
Name: Yash Dalvi
Name: Christian Manriquez
Name: Bryce Goldthwaite
Name: Your name

LAB 1 WRITE-UP

Independent and Dependent Variables

Independent: Dosage of lipopolysaccharide (0mg, 2mg, 6mg, or 10 mg.)

This variable is chosen because it is the only controllable, testable variable.

Dependent: A change in Inflammotin

This variable is chosen because the reaction is dependent on the amount of lipopolysaccharide (the independent variable).

Experimental Design

Groups
There are 4 groups of 15 people each in the study, each taking a different amount of the lipopolysaccharide.

Control Group: Takes a sugar pill (placebo)

Group 1: Takes 2 mg of LPS

Group 2: Takes 6 mg of LPS

Group 3: Takes 10 mg of LPS


Age
Subjects are randomly selected from an age range of 65 to 80 years. The age range is restricted to 15 years in order to minimize within-group variation while also focusing on individuals considered elderly and therefore within the targeted market for the LPS drug.


Number of subjects per group
Each group will consist of 15 subjects. The number of subjects in each group reflects the age range of the subjects, as well.


Experimental Design:

Subjects of each group take a pill a day, in the mornings, for 10 days until the experiment is completed. An ELISA blood test will be conducted every other day beginning the day before the first pill consumption. Blood tests will be conducted on days, 0,2,4,6,8, and 10, while the pill is taken on days 1-10. The blood tests will be compared to each other and the control group's after the experiment. The blood tests will be compared on a basis of whether or not they increased inflammotin levels.




Subject Selection

There are 60 subjects total in this experiment, 30 male 30 female. The age of the subjects range anywhere from 65-80 years old.They have been randomized into 4 different experiment groups. This randomization of the subjects is to ensure that there is no group in which has better health than the other because of better healthcare or wealth.




Sources of Error and Bias

1. The first possible source of error for the experiment is the wealth of the subjects. This can be controlled by selecting subjects from a variety of communities.

2. The second possible source of error could stem from the health of each subject, which can be better controlled by recording the health of each subject and compare their data with other subjects that have similar health.

3. Another possible source of error is from the medications that the subjects are already taking. This can be solved similarly to the health of the subjects, which is by recording the medications that each subject is taking and compare their data to other subjects who are taking the same medications.

4. A fourth source of error can be from having uneven number of males and females in each group. This can easily be controlled by making sure that there are about an even number males and females in each group.

5. A fifth possible source of error may be due to researchers’ bias, and this can be controlled by conducting a double blind experiment.

6. The sixth source of error could result from the diets of each subject. This can be remedied by making sure each subject are eating the same foods for the duration of the experiment.