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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.
Mathematical Properties The sum of deviations of the items from the arithmetic mean (taking signs into account) is always zero, i.e. = 0. The sum of
Q. Compute the output of correlation? The following figure shows (a) a 3-bit image of size 5-by-5 image in the square, with x and y coordinates specified, (b) a Laplacian
two application of statistics
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Your organization purchases bottles of a popular commercial solvent for resale. Each bottle is labeled as containing 32 fluid ounces of the solvent. Your cont
Simple Linear Regression While correlation analysis determines the degree to which the variables are related, regression analysis develops the relationship between the var
HOW WOULD YOU INTERPRET THIS PROBABILITY:P(a)=1.05
Question 1 Suppose that you have 150 observations on production (yt) and investment (it), and you have estimated the following ADL(3,2) model: (1 – 0.5L – 0.1L2 – 0.05L3)yt = 0.7
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Review the Learning Resources and the media programs related to t tests. For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Buil
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