Using the provided output, what is the pvalue and what are the results of the test?
Research indicates that there may be a relationship between caffeinated coffee consumption and risk of depression in women. Provided is data on the amount of caffeinated coffee consumed and whether the woman was diagnosed with clinical depression. Of interest is to see if there is evidence of an association between caffeinated coffee intake and clinical depression in women. Using the provided output, what is the pvalue and what are the results of the test?
| Caffeinated coffee | |||||
| Depression | <1 cup/wk | >=1 cup/day | 2-3 cups/day | 4+ cups/day | Total |
| Yes | 670 | 1278 | 564 | 95 | 2607 |
| No | 11545 | 22573 | 11726 | 2288 | 48132 |
| Total | 12215 | 23851 | 12290 | 2383 | 50739 |
Pearson's Chi-squared test
data: coffee
X-squared = 19.472, df = 3, p-value = 0.0002184
A. pvalue=3 <= alpha(0.05), H0 is rejected. There is an association between depression and caffeine intake in women
B. pvalue=19.472 <= alpha(0.05), H0 is rejected. There is an association between depression and caffeine intake in women
C. pvalue=0.0002184 <= alpha(0.05), H0 is rejected. There is an association between depression and caffeine intake in women
D. pvalue=0.0002184 IS NOT <= alpha(0.05), H0 is not rejected. There is no association between depression and caffeine intake in women
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