The probability that a part produced by a certain factory's assembly line will be defective is...
The probability that a part produced by a certain factory's assembly line will be defective is 0.012. Find the probabilities that in a run of 45 items, the following results are obtained. (a) Exactly 3 defective items (b) No defective items (c) At least 1 defective item
The probability that a part produced by a certain factory's assembly line will be defective is 0.022. Find the probabilities that in a run of 48 items, the following results are obtained. (a) Exactly 4 defective items (b) No defective items (c) At least 1 defective item
The probability that a part produced by a certain factory's assembly line will be defective is 0.025. Suppose a sample of 130 parts is taken. Find the following probabilities by using the normal curve approximation to the binomial distribution. Use the table of areas under the standard normal curve given below. The probability that exactly 2 parts will be defective is ____. (Round to four decimal places as needed.) The probability that no parts will be defective is _____. (Round...
please answer rounded to four decimal places as needed, thank you! The probability that a part produced by a certain factory's assembly line will be defective is 0.012. Find the probabilities that in a run of 45 items, the following results are obtained. (a) Exactly 3 defective items (b) No defective items (c) At least 1 defective item
6. Suppose that 10% of all the parts manufactured on a certain assembly line are defective. The line produces new part every 7 min, and each new part is tested. The assembly line will be stopped for inspection when 10 defective parts have been found. what is the probability that the line will be stopped before 8 hours?
A company operates an assembly line. The company believes that there is a 3% probability that any given item produced on the line will contain a defect. If 100 items are pulled at random from the line, what is the probability there will be exactly 4 defective items? If 100 items are pulled at random from the line, what is the probability there will be 9 or more defective items? If X = the number of defectives in a sample...
Parts coming off an assembly line have a 1% chance of being defective. If3 parts are randomly chosen from this line and X is the number of defective parts a. Compute the probability function f(x) for X. b. What is the probability that at least one of the three is defective? Parts coming off an assembly line have a 1% chance of being defective. All of the parts coming off the line are inspected. Let X be the number of...
A machine that manufactures automobile parts produces defective parts 13% of the time. If 10 parts produced by this machine are randomly selected, what is the probability that at least 2 of the parts are defective? Carry your intermediate computations to at least four decimal places, and round your answer to at least two decimal places.
Find the indicated probabilities using the geometric distribution, the Poisson distribution, or the binomial distribution. Then determine if the events are unusual. If convenient, use the appropriate probability table or technology to find the probabilities A glass manufacturer finds that 1 in every 1000 glass items produced is warped. Find the probability that (a) the first warped glass item is the 10th item produced, (b) the first warped item is the first, second, or third item produced, and (c) none...
In the electronic manufacturing assembly line, engineers observe a probability of 0.2 that a cell phone modem chip is defective. Round probabilities to the nearest three decimal places. (a) [6pts] Suppose ten chips are selected for testing, what is the probability that at most one chip is defective? Suppose 600 chips are randomly selected for testing. (b) (6pts] We can approximate the Binomial distribution with a normal distribution. Compute the mean and standard deviation of this normal distribution (c) (pts]...