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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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Q. The following system of equations illustrates the algebraic form of a partial (individual) market equilibrium model, which is a model of price (P) and quantity (Q) determination
differance b/w big M mathod and two phase mathod
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Year Production 2006 8 2007 6 2008 10 2009 12 2010 11 2011 15 2012 14 2013 16 Determine the trend from data given above?
how to get statistical quality control assignment in brief?
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