1. A garlic press factory has four machines turning out garlic presses. Machine 1 makes 35% of the total output, and 5% of the presses turned out by machine 1 are defective. Machines 2, 3, and 4 make 30%, 20%, and 15% of the total output, and their percentages of defective presses are 4%, 2% and 2% respectively. Let events M₁, M2, M3, and M4 represent the machine the press came from, and let event D represent a defective garlic press. Find the following probabilities, building up to using Bayes' rule: a) P(M₁), P(M₂), P(M3), and P(M4) b) P(DM₁), P(D|M2), P(D|M3), and P(D|M4) c) Use Bayes rule, and all of the probabilities above to find P(M3|D)

MATLAB: An Introduction with Applications
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1. A garlic press factory has four machines turning out garlic presses. Machine 1 makes 35% of the total
output, and 5% of the presses turned out by machine 1 are defective. Machines 2, 3, and 4 make
30%, 20%, and 15% of the total output, and their percentages of defective presses are 4%, 2% and 2%
respectively. Let events M₁, M2, M3, and M4 represent the machine the press came from, and let event
D represent a defective garlic press. Find the following probabilities, building up to using Bayes' rule:
a) P(M₁), P(M₂), P(M3), and P(M₁)
b) P(DM₁), P(D|M2), P(D|M3), and P(DM₁)
c) Use Bayes rule, and all of the probabilities above to find P(M3|D)
Transcribed Image Text:1. A garlic press factory has four machines turning out garlic presses. Machine 1 makes 35% of the total output, and 5% of the presses turned out by machine 1 are defective. Machines 2, 3, and 4 make 30%, 20%, and 15% of the total output, and their percentages of defective presses are 4%, 2% and 2% respectively. Let events M₁, M2, M3, and M4 represent the machine the press came from, and let event D represent a defective garlic press. Find the following probabilities, building up to using Bayes' rule: a) P(M₁), P(M₂), P(M3), and P(M₁) b) P(DM₁), P(D|M2), P(D|M3), and P(DM₁) c) Use Bayes rule, and all of the probabilities above to find P(M3|D)
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