(defective) = 0.03
n = 17
P(no defective in the sample) = (1 - 0.03)17 = 0.5958
A factory tests a random sample of 17 transistors for defects. The probability that a particular...
Bus Econ 8.4.29 EQuestion Help A factory tests a random sample of 29 transistors for defects. The probability that a particular transistor will be defective has been established by past experience as 0.05. What is the probability that there are no defective transistors in the sample? The probability that there are no defective transistors in the sample is about (Roúnd to four decimal places as needed.)
Bus Econ 8.4.29 ::Question Help A factory tests a random sample of 30 transistors for defects. The probability that a particular transistor will be defective has been established by past experience as 0.04. What is the probability that there are no defective transistors in the sample? . The probability that there are no defective transistors in the sample is about (Round to four decimal places as needed.)
A shipment of 8 computers contains 3 with defects. Find the probability that a sample of size 1, drawn from the 8, will not contain a defective computer, What is the probability that a sample of 1 of the 8 computers will not contain a defective computer? (Type an integer or a simplified fraction.)
1. A coin is tossed ten times. Find the probability of getting six heads and four tails. 2. A family has three children. Find the probability of having one boy and two girls 3. What is the probability of getting three aces(ones) if a die is rolled five times? 4. A transistor manufacturer has known that 5% of the transistors produced are defective. what is the probability that a batch of twenty five will have two defective? 5. A telemarketing...
3. A manufacturer of semiconductor devices takes a random sample of 100 chips and tests them, classifying each chip as defective or nondefective. Let X; = 0 if the chip is nondefective and Xi = 1 if the chip is defective. The sample fraction defective is X1 + X2 + ... + X100 100 What is the sampling distribution of the random variable ?
Suppose 2% of power drills are defective. What is the probability that in a random sample of 1000 power drills, at most 15 are defective. Use the normal approximation to the binomial to approximate this probability.
ZAA MATHEMATICAL ASSOCIATION OF AMERICA webwork / 20_sp375_pr/hw3_- conditional probability and independence / 17 HW3 - Conditional Probability and Independence: Problem Previous Problem Problem List Next Problem (1 point) Factories A and B produce computers. Factory A produces 4 times as many computers as factory B. The probability that an item produced by factory A is defective is 0.016 and the probability that an item produced by factory B is defective is 0.035. A computer is selected at random and...
Shipments of television set that arrive at a factory have varying levels of quality. In order to decide whether to accept a particular shipment, inspectors randomly select a sample of 10 television sets and test them; if no more than one television set in the sample is defective, the shipment is accepted. Suppose a very large shipment arrives in which 2% of the television sets are defective. Let ? be a random variable representing the number of defective television set...
A factory creating widgets tests samples of it's products to see if they meet quality standards. Suppose that in each batch of 10,000 widgets, the factory tests 200 widgets. If more than 12 of that sample did not meet the standard, the batch is rejected. Suppose we know that a certain batch of widgets has 850 faulty widgets. What is the probability that the factory would not reject the batch?
Assume that a factory has two machines ??A_1 and ??A_2 . Past records shows that machine ??A_1 produces 60% of the items of output and machine ??A_2 produces 40% of the items. Further, 2% of the items produced by machine ??A_1 were defective and only 1% produced by machine ??A_2 were defective. If a detective item is drawn at random, what is the probability that it was produced by machine ??A_1 ?