# BME100 f2014:Group24 L1

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# LAB 1 WRITE-UP

## Independent and Dependent Variables

The independent variable is lipopolysaccharide because it is the variable being manipulated/ controlled for the experiment. The dependent variable is the inflammatory protein inflammation because it is the variable being observed.

## Experimental Design

Groups
Group 1: 4 mg Group 2: 7 mg Group 3: 10 mg Group 4: 0 mg

• Group 3 is our control group because previous tests indicate that a 10 mg dosage is proven to increase protein levels.
• We have decided to decrease each group's dosage by 3 mg to see how low of a dosage we could reach while still achieving the desired effects.
• We are also isolating another group that will be receiving a placebo pill in order to observe the natural effects of the body. We will then compare observations of our experimental dosages to both control groups, 0mg and 10mg.

Age
We will choose participants that are in between the ages of 55-65 and we will also randomize them into separate groups.

Number of subjects per group
There will be 10 subjects per group in order to have a large enough sample size for a sufficient data pool.

## Subject Selection

We are choosing participants with no major health conditions and no history of inflammation issues for more accurate results. We cannot accept test subjects with a history of inflammation, as this could potentially throw off our experimental data since we are trying to isolate the effects of lipopolysaccharide on raising inflammation levels.

## Sources of Bias and Error

-The study is not blind or double blind, so the patient or observer could contribute to bias. We could control these by changing the study to double blind study. -Error could have occurred if the study that determined that the 10 mg dosage produced an effect was incorrect. We could correct this error by reading through that study and determining its authenticity. We then could test the claim for ourselves.

• Based on our dosage intervals, if inflammation levels peak between 4 to 7 mg or from 0-4 mg, additional tests must be done in order to observe the exact minimal measurement of the drug that is effective. We are simply closing in onto the most effective/lowest dosage amount. We would need too many patients to test every numerical value from 0 to 10 mg, with a control group, and we are on a low budget.