In a semiconductor manufacturing process, three wafers from a lot are tested. Each wafer is classified as pass or fail. Assume that the probability that a wafer passes the test is 0.8 and the wafers are independent. Then the probability distribution of the number of wafers from a lot that pass the test is: P(X=0) = 0.064, P(X=1) = 0.288, P(X=2) = 0.432, P(X=3) = 0.216 P(X=0) = 0.027, P(X=1) = 0.189, P(X=2) = 0.441, P(X=3) = 0.343 P(X=0) = 0.008, P(X=1) = 0.096, P(X=2) = 0.384, P(X=3) = 0.512 None of these

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 20E
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In a semiconductor manufacturing process, three wafers from a lot are tested. Each
wafer is classified as pass or fail. Assume that the probability that a wafer passes the
test is 0.8 and the wafers are independent. Then the probability distribution of the
number of wafers from a lot that pass the test is:
P(X=0) = 0.064, P(X=1) = 0.288, P(X=2) = 0.432, P(X=3) = 0.216
P(X=0) = 0.027, P(X=1) = 0.189, P(X=2) = 0.441, P(X=3) = 0.343
P(X=0) = 0.008, P(X=1) = 0.096, P(X=2) = 0.384, P(X=3) = 0.512
None of these
Transcribed Image Text:In a semiconductor manufacturing process, three wafers from a lot are tested. Each wafer is classified as pass or fail. Assume that the probability that a wafer passes the test is 0.8 and the wafers are independent. Then the probability distribution of the number of wafers from a lot that pass the test is: P(X=0) = 0.064, P(X=1) = 0.288, P(X=2) = 0.432, P(X=3) = 0.216 P(X=0) = 0.027, P(X=1) = 0.189, P(X=2) = 0.441, P(X=3) = 0.343 P(X=0) = 0.008, P(X=1) = 0.096, P(X=2) = 0.384, P(X=3) = 0.512 None of these
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