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

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

College Algebra

10th Edition

ISBN:9781337282291

Author:Ron Larson

Publisher:Ron Larson

Chapter8: Sequences, Series,and Probability

Section8.7: Probability

Problem 11ECP: A manufacturer has determined that a machine averages one faulty unit for every 500 it produces....

See similar textbooks