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 0.022. 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 0.007. Find the probabilities that in a run of 40 items, the following results are obtained. (a) Exactly 3 defective items No defective items (c) At least 1 defective item a. The probability that exactly 3 parts will be defective is (Round to four decimal places as needed.) b. The probability that no parts will be defective is (Round to four decimal places as...
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
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...
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...
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?
Suppose 20% of the engines manufactured on a certain assembly line are defective. If engines are randomly selected one at a time and tested. a. Find the probability that first defective engine is found on the third trial. b. Find the mean and variance of the number of the trial on which the first defective engines is found.
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...
Devices produced by a certain company will be defective with a probability of 0.2 independently of each other. (a) A box of 8 of these devices has just been delivered. What is the probability that at least two of them are defective? (5 marks) (b) A warehouse contains 1000 of these devices. Use the central limit theorem to approximate the probability that more than 220 of the devices in the warehouse are defective. (8 marks)
Suppose machine 1 produces items that are independently defective with probability 0.01, machine 2 produces items that are independently defective with probability 0.02, and machine 3 produces items that are independently defective with probability 0.04. Suppose we purchase a box with 100 items in it, all of which were produced by the same machine. The box was produced by machine 1 with probability 0.5, by machine 2 with probability 0.3, and by machine 3 with probability 0.2. (a) Find the...