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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.
Random Sampling Method In this method the units are selected in such a way that every item in the whole universe has an equal chance of being included. In the words of croxton
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