BME100 s2016:Group4 W1030AM L1

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Contents

OUR TEAM

Name: Karson Pooler
Name: Karson Pooler
Name: Sara Gubrud
Name: Sara Gubrud
Name: Katerina Soltero
Name: Katerina Soltero
Name: Paul Gossett
Name: Paul Gossett
Name:Patrick Panattoni
Name:Patrick Panattoni
Name: Desiree Yazzie
Name: Desiree Yazzie

LAB 1 WRITE-UP

Independent and Dependent Variables

The independent variable is the dosage of lipopolysachharide. The dependent variable is the Inflammotin levels.

Experimental Design

Groups

Participants will be randomly assigned to one of six groups: one, the control group, will be administered a placebo, and the other five groups will receive lipopolysaccharide (LPS) pills in 2 mg, 4 mg, 6 mg, 8 mg, and 10 mg dosages, respectively.


Age

Only participants aged 65-75 will be selected.

Number of subjects per group

There will be 10 people per group for a total of 60 participants.




Subject Selection

We will gather 60 volunteers from a survey conducted through a newspaper. The subjects will be randomly assigned to groups.





Sources of Error and Bias

One possible source of bias is that people suffering from medical problems may be more likely to respond to the survey. To minimize bias in measurement, we will conduct a double-blind experiment, in which the participants will not know the dosage or the effects of the pill, and the administrators will not know which group is receiving which dosage. One factor that must be considered when using randomly-assigned groups is that certain attributes may become unevenly distributed among the groups by chance, e.g. one group may contain fewer unhealthy people than the others. To minimize error, a larger number of participants should be included in the sample, and a broader range of dosages should be tested. Error would be further minimized if more trials were conducted over a longer period of time. However, our limited funding may prevent any such expansion.



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