BME100 s2015:Group1 12pmL1

BME 100 Spring 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: Jake Packer Name: Jorge Hernandez Name: Andre Nguyen Name: Kaylena Conklin Name: Your name Name: Your name LAB 1 WRITE-UP Independent and Dependent Variables Independent variable(s): The amount of LPS used since the LPS is the variable that will be changed throughout the four groups. Dependent variable(s): The Inflammotin because it is the variable that is affected by the LPS, which is the independent variable. Experimental Design Groups How many groups? 4 groups- 1 control group at 0.0mg dosages, one group at 2.5mg doses, one at 5.0mg dosages, and one group at 7.5mg dosages (we assume we have access to the data from when the experiment was done with 10 mg dosages). We are using smaller and smaller dosages to figure out the minimum amount of LPS to increase inflammation. Age 65+ Number of subjects per group 10 subjects per group totaling at 40 subjects. There will be 10 subjects per group because of the low budget that the lab currently has. Assuming the budget allows, we will try to evenly increase the amount of subject per group for a larger sample size. Subject Selection Groups are to be selected randomly from a trial group of participants that suffer from inflammatory health issues and are over the age of 65. These members gain entry to the trial group by being diagnosed with such medical condition and are not restricted entry by any variations in gender, race or demographic background. Selected members will then be interviewed by testing officials to ensure they are not on any medications that would conflict with LPS. Sources of Error and Bias A potential source of error is through choosing the wrong age group, the baseline elderly age group should be more than 65 to avoid error. There is a chance that the patients can have different reactions to the LPS which may cause adverse results (given the possibility that different individuals may produce natural amounts of inflammatant that vary). The percentage of error could be lowered by attempting to increase the group size with the allowed budget. Also, repeating the process will help to avoid false results. Daily lifestyles may contribute to different levels of natural inflammatant or inhibiting/helping the LPS enter/be put into effect in the body. One way we can try to lower this error is by choosing patients from each lifestyle into the four groups.