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Although researchers do their best to reduce error within every study, there will always be error. It is important to identify and report any possible error within the research study in order to accurately interpret the research study's findings. In epidemiologic research, the focus is on assessing confounding and effect modification along with normal statistical measures (p-values, confidence intervals, etc.).
For this Application Assignment, you will calculate and interpret the effects of confounding, random error, and effect modification within epidemiologic research. Read each of the following questions and answer them appropriately:
Smokers
Non-Smokers
CHD
No CHD
Alcohol Use
80
40
10
20
No Alcohol Use
Calculate and interpret the appropriate measure of association between driver's education and accidents.
The question arose as to whether gender might be an effect modifier of this association. When gender was assessed, the data looked like the following:
Women
Men
Accident
No Accident
Driver's Ed
50
60
120
No Driver's Ed
Perform the appropriate calculations to test for effect modification. Interpret your results.
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Caselet on McDonald’s vs. Burger King - Waiting time
Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Problems on Sampling Variability and Standard Error and Confidence Intervals
Estimate the population mean
Conduct a marketing experiment in which students are to taste one of two different brands of soft drink
Find out the probability
LINEAR PROGRAMMING MODELS
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