A shipment of 40 parts contains 12 defective parts. Suppose 3 parts are selected at random from the shipment. What is the probability that all 3 parts are defective?
probability that all 3 parts are defective =P(first defective)*P(second defective|first defective)*P(third defective|first two defective)=(12/40)*(11/39)*(10/38)=0.0223
A shipment of 40 parts contains 12 defective parts. Suppose 3 parts are selected at random...
A shipment of 40 parts contains 12 defective parts. Suppose 3 parts are selected at random, without replacement, from the shipment. What is the probability that exactly 2 parts are not defective?
A shipment of 50 parts contains 12 defective parts. Suppose 3 parts are selected at random, without replacement, from the shipment. What is the probability that at least one part is defective? 0.5696 0.5610 0.1435 0.0427
A shipment of 60 parts contains 9 defective parts. Suppose 3 parts are selected at random, without replacement, from the shipment. What is the probability that at most one part is not defective? Options: 0.9439 0.0887 0.0561 0.0296
Suppose a shipment of 130 electronic components contains 3 defective components. To determine whether the shipment should be accepted, a quality-control engineer randomly selects 3 of the components and tests them. If 1 or more of the components is defective, the shipment is rejected. What is the probability that the shipment is rejected?
a bin of 50 parts contains five that are defective. a sample of three parts is selected at random without placement. a. determine the probability that at least two parts in the sample are defective. b. given that at least two parts in the sample are defective, what is the probability that all three are defective
Suppose you just received a shipment of 14 televisions 3 of the televisions are defective it to televisions are randomly selected compute the probability that both televisions work what is the probability at least one of the televisions does not work
A bin of 50 parts contains 5 that are defective. A sample of 10 parts is selected at random, without replacement. (a) How many different samples of size 10 are there that contain at least three defective parts? (b) How many ways to obtain a sample of 10 parts from the bin of 50? (c) What is the probability of obtaining at least three defectives in a sample of 10 parts?
2. A shipment of 40 fancy calculators contains 5 defective units. In how many ways can a college bookstore buy 20 of these units and receive: a) no defective units b) one defective unit c) at least 17 good units d) What is the probability of the bookstore receiving 2 defective units? e) Find the probability of receiving at most 2 bad calculators. f) Find the probability of receiving at least 4 defective units.
A box of 8 flashbulbs contains 3 defective bulbs. A random sample of 2 is selected and tested. Let X be the random variable associated with the number of defective bulbs in a sample. (A) Find the probability distribution of X. (B) Find the expected number of defective bulbs in a sample.
a package contains 12 resistors, 3 of which are defective. if 5 are selected find the probability of getting the following results 1 defective