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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.
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Complete the multiple regression model using Y and your combined X variables. State the equation. Next, make sure that you evaluate overall model performance with the Anova table
What is an interaction? Describe an example and identify the variables within your population (work, social, academic, etc.) for which you might expect interactions?
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QUESTION ONE. (a) The probability that, a bomber hits a target on a bombing mission is 0.70 Three bombers are sent to bomb a particular target. (i) What is the probability
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