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Statistics for Categorical Data: Odds Ratios and ChiSquare
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 chisquare. The diseaseOR refers to the odds in favor of disease in the exposed group divided by the odds in favor of the unexposed group. Chisquare 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.
Part 1: ORs
A study conducted by LópezCarnllo, 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 populationbased casecontrol 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:
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 
Reference:
LópezCarnllo, L., Avila, M. H., & Dubrow, R. (1994). Chili pepper consumption and gastric cancer in Mexico: A casecontrol 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 the odds ratio. The same resource is also available under lecture Testing Hypotheses.
Submission Details:
Part 2: ChiSquare
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 fiftyfive years. To test the hypothesis that there is no association between the use of postmenopausal hormones and the risk of MI, chisquare statistics need to be calculated.
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 