STAT 3100 Study Guide - Final Guide: Geometric Distribution, Independent And Identically Distributed Random Variables, Log-Normal Distribution

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

Document Summary

A few more practice questions for the nal exam. For the nal exam you are responsible for all the material we have covered in the course. This document contains some practice questions on the later material (after the midterm): suppose x exp(1). Derive the distribution of y = ex 2 (a) the transformation (change of variable) technique. using: (b) the distribution function technique: suppose x u nif ( 1, 3). What is the distribution of y = |x|: suppose the random variable x has the probability density function: f (x; , ) = 0 for x > 0 elsewhere where > 0, > 0. Many sources de ne a geometric random variable (y , say) to be the number of failures before getting the rst success. Individuals with hanhart syndrome can have a number of physical deformities, including malformed ngers, toes, and limbs.