BME100 f2013:Projects2

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Lab 2: “Adding to the Toolbox: Using Statistics”

Since you did such a great job designing the experiment last week, Kristen leaves the data analysis up to you guys! She ran two experiments. The first experiment was completed in rats and Kristen thinks the LPS treatment increased Inflammotin protein levels as anticipated. She did a second experiment in elderly people at her grandmother’s retirement center. Over the weekend, she ran an ELISA to measure Inflammotin protein levels in both experiments (blood samples). (The Excel sheet containing the data is available on Blackboard.)

Assignment:
1. Calculate the descriptive statistics for both data sets.
2. Analyze the data to determine whether there was any effect of LPS on inflammation in rats or people.
3. Graph your results.
4. Write a summary of your results including any conclusions you have made from your analysis.

HW: Lab Report 2 due 9/18/13 (through OpenWetWare)

Grading Scheme:
10 points – Descriptive statistics describing the data set
20 points – Graphing with labels and error bars
35 points – Inferential statistics (Are there differences between the groups?)
15 points - Summary/Discussion
20 points – Individual contribution (as noted by OpenWetWare editing records)

Wednesday, 9:00 AM

Group 1 Group 2 Group 3 Group 4 Group 5
Group 6 Group 7 Group 8 Group 9 Group 10
Group 11 Group 12 Group 13 Group 14 Group 15
Group 16 Group 17 Group 18 Group 19 Group 20

Wednesday, 12:00PM

Group 1 Group 2 Group 3 Group 4 Group 5
Group 6 Group 7 Group 8 Group 9 Group 10
Group 11 Group 12 Group 13 Group 14 Group 15
Group 16 Group 17 Group 18 Group 19 Group 20





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