STAT 3100 Study Guide - Final Guide: Venn Diagram, Beta Distribution, Inference

• School: University of Guelph
• Department: Statistics
• Course: STAT 3100
• Professor: Jeremy Balka

Document Summary

A sample nal (answers: (3 parts worth 2 marks each) P (a) = 0. 44, p (b) = 0. 29, p (c) = 0. 31. P (a b) = 0. 12, p (a c) = 0. 14, p (b c) = 0. 05 and p (a b c) = 0. 04. (a) what is p (b (a c)) Most people nd these questions easiest to answer when visualized through a venn diagram. P (c b) = 0. 05, p (a b) = 0. 12, p ((c b) (a b)) = p (a b c) = 0. 04. , n. using whatever means you feel appropriate, derive i=1 aixi. Include the parameters of the distribution, and the support of the density function. (assume that you have been given the moment generating function of the normal distribution. ) = e(p ai i)t+ 1 e iait+ 1 e iait+ 1 n. Xi=1 aixi n (x ai i,x a2 i 2 i ) 1 of 8: suppose x exp( ).