(a)
Expected value of the number of defective items in the box = 100*Probability of defective =
= 100*(Probability that machine 1 produced defective + Probability that machine 2 produced defective + Probability that machine 3 produced defective)
Probability that machine 1 produced defective = Probability that box was produced by machine 1 * Probability of defective produced by machine 1 = 0.5*0.01 = 0.005
Probability that machine 2 produced defective = Probability that box was produced by machine 2 * Probability of defective produced by machine 2 = 0.3*0.02 = 0.006
Probability that machine 3 produced defective = Probability that box was produced by machine 3 * Probability of defective produced by machine 3 = 0.2*0.04 = 0.008
Probability of defective = 0.005 + 0.006 + 0.008 = 0.017
Expected value of the number of defective items in the box = 100*Probability of defective = 100*0.017 = 1.7
Varaince of the number of defective items in the box = 100*Probability of defective*(1-Probability of defective) =
= 100*0.017*(1-0.017) = 1.67
(b)
Probability that defective was produced by machine 1 = Probability that machine 1 produced defective / Probability of defective
= 0.005 / 0.017 = 0.294
Suppose machine 1 produces items that are independently defective with probability 0.01, machine 2 produces items...
The company has two machines that produce certain items. Machine 1 produces 40 % of the the items, and machine 2 produces 60% of the items. Machine 1 produces 3% of defective items and machine 2 produces 5% of defective items. a. The probability that a randomly selected produced item is defective is b. If a randomly selected item is found to be defective, probability that it is produced on machine 2 is
In a factory, machine A produces 60% of the daily output, and machine B produces 40% of the daily output. After quality control process, 2% of machine A's output is defective, and 3% of machine B's output is defective. If an item was inspected at random, 1- What is the probability that the item is defective? 2- What is the probability that the item was produced by machine A given that it was found defective?
Suppose that 25 percent of the items produced by a certain machine are defective and the parts are independent of each other. We will sample n items at random and inspect them. What is the expected value and variance for the described distribution?
A machine is operating at rate of 10% defective items. If each item is inspected as it is produced, find the probability that the first defective item found is the fifth item inspected.
A factory manufactures machines. Each machine is defective with probability 1/100, independently. The machines get numbered 1, 2, . . . as they’re produced (a) Out of machines 1, . . . , 1000, what is the probability that none are defective? (b) Out of machines 1, . . . , 1000, what is the probability that two or fewer are defective? (c) Out of machines 1, . . . , 1000, what is the probability that exactly ten are...
A batch of n = 50 items contains m = 10 defective items. Suppose k = 10 items are selected at random and tested. How many items, k, do we need to sample, in order to get at least one defective item, with probability greater than 0.5?
Problem 2. The Hit-and-Miss Manufacturing Company produces items that have a probability p of being defective. These items are produced in lots of 150. Past experience indicates that p for an entire lot is either 0.05 or 0.25. Furthermore, in 90 percent of the lots produced, p equals 0.05 (so p equals 0.25 in 10 percent of the lots). These items are then used in an assembly and ultimately their quality is determined before the final assembly leaves the plant....
It is known that a machine produces 3% of defective parts. We choose a piece at random to check if it has no defects. How is the variable X that is worth 1 distributed if the part is not defective and 0 if it is defective? What are your mean and variance?
3. Two different machines were used for producing a large batch of similar manufactured items. Suppose that 40% of the items were produced by M and 60% of the items were produced by machine 2. Suppose further than 1% of the items produced by machine 1 are defective and 3% of the items produced by M2 defective are Let B be the event that the selected item was produced by Mi and B2 be the event that the selected item...
- [10+10]A defective coin minting machine produces coins whose probability of heads is a continuous) random variable P with pdf f(p) = pep ,0<p<1 A coin produced by this machine is selected and tossed. a) Find the probability that the coin toss results in heads. ) Given that the coin toss resulted in heads, find the conditional pdf of P.