2. 0.03 of the goods produced in a factory are defective. When a 25 unit sample is drawn for inspection a. What is the probability of having 4 defective goods? b. What is the probability of 2 or more defective goods? c. What is the probability of having 1 defective goods at most? 3. Suppose X is a binomial random variable with n=100 and p-0.3. Estimate P(X=40) by using the normal approximation.

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Plzz explain c) question
2. 0.03 of the goods produced in a factory are defective. When a 25 unit
sample is drawn for inspection
a. What is the probability of having 4 defective goods?
b. What is the probability of 2 or more defective goods?
c. What is the probability of having 1 defective goods at most?
3. Suppose X is a binomial random variable with n=100 and p-0.3. Estimate
P(X=40) by using the normal approximation.
Transcribed Image Text:2. 0.03 of the goods produced in a factory are defective. When a 25 unit sample is drawn for inspection a. What is the probability of having 4 defective goods? b. What is the probability of 2 or more defective goods? c. What is the probability of having 1 defective goods at most? 3. Suppose X is a binomial random variable with n=100 and p-0.3. Estimate P(X=40) by using the normal approximation.
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