BME100 f2015:Group9 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 Name: Michael Tyson Name: Ahmad Basiri Name: Hy Rillero Name: Allison Schmidli Name: Leo Austin LAB 1 WRITE-UP Independent and Dependent Variables The independent variable is the dose of an inflammation inducing agent lipopolysaccharide. The different levels for this variable will be 10mg, 8mg, 6mg, 4mg, 2mg, and 0mg as the control group. The lipopolysaccharide is the independent variable based on the fact that this is the variable that needs to be manipulated to get results that answer the real world problem. The dependent variable will be the amount of the inflammatory protein measured in the blood samples, because the amount of inflammatory protein can be influenced by the amount of lipopolysaccharide. This will be measured by the enzyme-linked immunosorbent assay (ELISA). Experimental Design Groups This experiment will be split into two blocks one for males and the other for females. In these two blocks, there will be six separate groups for each level of the independent variable with ten subjects in each of these levels. In addition, there will be an age separation as five individuals between the ages of 56 and 60 and five individuals between the ages of 61 and 65 will be placed into each of these groups. Age For the experiment, elderly is to be defined as individuals that are older than 55 years old. This was used based on the fact that many pharmacies do not have any age-specific discount offers for customers that are 55 and older. Because of this, the experiment will include individuals between the ages of 56-65. Number of subjects per group As explained above, there will be two blocks with six groups that contain ten subjects each. In must also be noted that two different age groups will be represent in each group. As explained above, six groups with two blocks in each group that contain ten subjects each. It must also be noted that two different age groups will be represent in each group. Each group contain 5 male subject between the age 56-60 and 5 male subject between the age 61-65 that is the first block in a group, the second block contain 5 female subject between the age 56-60 and 5 female subject between the age 61-65 this well be the second block in the same group. There for each group has 20 member and there will be 6 groups in total. 1st group is tested on 0mg of lipopolysaccharide, 2nd group is tested on 2mg lipopolysaccharide, 3rd group is tested on 4mg of lipopolysaccharide, 4th group is tested on 6mg of lipopolysaccharide, 5th group is tested on 8mg of lipopolysaccharide, and the 6th group is tested on 10mg of lipopolysaccharide. Subject Selection Subjects can be found through random selection in area agencies on aging. An equal number of men and women will be selected for each age group defined in the group selection above. This will be done by assigning the subjects a number from 1 to 30. The assigning of numbers will be done within each category of subjects. For example, males between the ages 56 and 60 will be numbered 1-30 as will the females between the ages of 56 and 60. A random number table will be used to put an equal number of subjects from each category into the six groups. Factors such as preexisting disease will be factored out of the selection pool as these must be accounted into the experiment based on the fact that these factors would affect the data in the experiment. Sources of Error and Bias Ideally there would be one person for every age between 56 and 65 in each group tested, but there is no guarantee that will be the case. The drug could affect males and females differently so there will be equal amounts of each for all the groups. Varying diets, sleep schedule and daily habits such as smoking, drinking and exercise could contribute to different results. Reactions and side effects to the medication could cause error in the results.