A manufacturing company produces digital cameras and claim that their products maybe 3% defective. A video company, when purchasing a batch of 2000 cameras, applies the following sample plan: They randomly select 20 cameras and accept the whole batch if there are at most 2 defective cameras. What is the probability that the video company accepts the whole batch?
A manufacturing company produces digital cameras and claim that their products maybe 3% defective. A video...
A company has 2 factories that produce digital cameras, Factory A and Factory.B. Factory produces 3 times as many digital cameras as Factory A does. 23% of digital cameras produced by factory A are defective. 8% of digital cameras produced by Factory B are defective. What is the probability that a digital camera was produced by factory.B given that it is defective? (Round to nearest percentage) A. 20 B. 10 C.40 D. 51 m.
3. A manufacturing firm knows that 3% of the products they produce are defective. They accidentally shipped a batch of 30 that has not been tested. If the receiving company randomly selects 5 of the 30 to be tested, what is the probability none are defective?
5) A manufacturing firm knows that 3% of the products they produce are defective. They accidentally shipped a batch of 30 that had not been tested. If the receiving company randomly selects 5 of the 30 to be tested, what is the probability none are defective?
It is known that a particular company produces products of which 30% are defective. We select items at random and identify it as being defective or not. Calculate the probability that the sixth selected item will be the 3rd defective. A. 0.38282 B. 0.09261 C. 0.24518 D. 0.75494 E. none of the above
EVGA Corporation is a computer hardware company that produces Nvidia-GPU- based video cards as well as Intel-chipset-based motherboards. Suposse that their products are independently defective with probability 0.006. (a) (12.5 points) Find the probability that a sample of 70 items will contain at least 2 defective items (b) (12.5 points) Find the Poisson approximation for the probabilily in (a)
Grills Video Products purchases LCDs from Mira Electronics According to his sampling plan Art Grills owner of Gull Video will accept a shipment of LCDs if 3 or fewer are defective in a sample of 25 1. Compute the probabilities and enter the values in the table below. (Round your answers to 3 decimal places.) Percem Probability of Detective accepting lot 10 20 30 40 2. Choose the appropriate percent defective chart for the data given above Chart DE O...
A pharmaceutical company receives large shipments of ibuprofen tablets and uses this acceptance sampling plan: randomly select and test 29 tablets, then accept the whole batch if there is at most one that doesn't meet the required specifications. If a particular shipment of thousands of ibuprofen tablets actually has a 12% rate of defects, what is the probability that this whole shipment will be accepted?
Assume that when adults with smartphones are randomly selected, 55 % use them in meetings or classes. If 9 adult smartphone users are randomly selected, find the probability that at least 2 of them use their smartphones in meetings or classes.The probability is _______ Assume that when adults with smartphones are randomly selected, 49 % use them in meetings or classes. If 14 adult smartphone users are randomly selected, find the probability that fewer than 5 of them use their smartphones...
When purchasing bulk orders of batteries, a toy manufacturer uses this acceptance sampling plan: Randomly select and test 60 batteries and determine whether each is within specifications. The entire shipment is accepted if at most 3 batteries do not meet specifications. A shipment contains 4000 batteries, and 2% of them do not meet specifications. What is the probability that this whole shipment will be accepted? Will almost all such shipments be accepted, or will many be rejected? The probability that...
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....