Week 3: Project Assignment
Statistics for Categorical Data: Odds Ratios and Chi-Square
This assignment focuses on categorical data. Two of the statistics most often used to test hypotheses about categorical data are odds ratios (ORs) and the chi-square. The disease-OR refers to the odds in favor of disease in the exposed group divided by the odds in favor of the unexposed group. Chi-square statistics measure the difference between the observed counts and the corresponding expected counts. The expected counts are hypothetical counts that would occur if the null hypothesis were true. Statistics Project F sample paper
Part 1: ORs
A study conducted by López-Carnllo, Avila, and Dubrow (1994) investigated health hazards associated with the consumption of food local to a particular geographic area, in this case chili peppers particular to Mexico. It was a population-based case-control study in Mexico City on the relationship between chili pepper consumption and gastric cancer risk. Subjects for the study consisted of 213 incident cases and 697 controls randomly selected from the general population. Interviews produced the following information regarding chili consumption: Statistics Project F sample paper
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Table 1: Chili Pepper Consumption and Gastric Cancer Risk
Chili pepper consumption Case of gastric cancer Controls
Yes A = 204 B = 552
No C = 9 D = 145
López-Carnllo, L., Avila, M. H., & Dubrow, R. (1994). Chili pepper consumption
and gastric cancer in Mexico: A case-control study. American Journal of
Epidemiology, 139(3), 263–271.
Note: You do not need to use the Minitab software to complete this assignment.
In a Microsoft Excel worksheet, calculate the odds of having gastric cancer.
In addition, provide a written interpretation of your results in APA format.
Refer to the Assignment Resources: Odds Ratio to view an example of odds ratio. The same resource is also available under lecture Testing Hypotheses.
Name your worksheetxls.
Name your document doc.
Submit your document to the Submissions Areaby the due date assigned.
Part 2: Chi-Square
Bain, Willett, Hennekens, Rosner, Belanger, and Speizer (1981) conducted a study of the association between current postmenopausal hormone use and risk of nonfatal myocardial infarction (MI), in which 88 women reporting a diagnosis of MI and 1,873 healthy control subjects were identified from a large population of married female registered nurses aged thirty to fifty-five years. To test the hypothesis that there is no association between use of postmenopausal hormones and risk of MI, chi-square statistics need to be calculated. Statistics Project F sample paper
The data are presented as follows:
Table 2: Association between Postmenopausal Hormone Use and Risk of Nonfatal MI
Cases Controls Total
Currently use 32 825 857
Never use 56 1,048 1,104
Total 88 1,873 1,961
Bain, C., Willett, W., Hennekens, C. H., Rosner, B., Belanger, C., & Speizer,
F. E. (1981). Use of postmenopausal hormones and risk of myocardial
infarction. Circulation, 64(1), 42–46.
Using the Minitab procedure, enter the data, perform appropriate procedures, and provide calculations from the table.
In addition, in a Microsoft Word document, provide a written interpretation of your results in APA format. Statistics Project F sample paper
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