a medical researcher has 100 bone cancer patients


A medical researcher has 100 bone cancer patients in a study. Every patient's condition is one of six types, type \A" to type \F". The 100 patients split as follows:

x <- c(11, 25, 10, 21, 16, 17)

Therefore there are 11 patients with condition \A", 25 patients with \B", and so on.

Using chisq.test(), or otherwise, test the null hypothesis that the six conditions are equally likely; report your p-value.

Is there evidence that the conditions are not equally probable? Interpret your finding in a way that a busy oncologist, who is not a statisician, could understand.

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Applied Statistics: a medical researcher has 100 bone cancer patients
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