Midterm_EMSE_182_282_Spring08

# Midterm_EMSE_182_282_Spring08 - THE GEORGE WASHINGTON...

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THE GEORGE WASHINGTON UNIVERSITY EMSE 182/282 MIDTERM EXAM SPRING 2008 1. A component of an electronics system is tested and the defects are randomly distributed with a Poisson distribution and the number of defects per component is 0.03. (a). What is the probability a component will have exactly one defect? Poisson Probability Distrubution Funtion (PDF) is p(x = . Ñ / Bx B - - (b). What is the probability a component will have one or more defects? (c). If you improve the process and the defects per component reduce by ½ of the original rate, what effect will that have on the probability a component will have one or more defects? 1 2. A random sample was collected from a process in its original state and it had a mean

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= 10.03 and sample variance = 93.58 for a sample size of n = 9. An attempt to improve B= " " # " the process was made by process modifications and a second sample was taken to prove this out. The new sample has a mean = 7.98 and sample variance = 81.32 for a sample size of n 2 # # # = 7.
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## This note was uploaded on 01/02/2010 for the course EMSE 282 taught by Professor Harris during the Spring '07 term at GWU.

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Midterm_EMSE_182_282_Spring08 - THE GEORGE WASHINGTON...

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