a)
P(X=3) =e-16*163/3! =0.000077
b)
P(X>=3) =1-P(X<=2) =1-(P(X=0)+P(X=1)+P(X=2)) =1-(e-16*160/0!+e-16*161/1!+e-16*162/2!)=1-0.000016 =0.999984
c)
P(X<=3) =P(X=0)+P(X=1)+P(X=2)+P(X=3)=e-16*160/0!+e-16*161/1!+e-16*162/2!+e-16*163/3! =0.000093
5. A certain electronics company produces a particular type of vacuum tube. On the average, 4...
a certain electronics company produces a particular type of vacuum tube. on the average, 2 out of 100 are defective. the company packs the tubes on boxes of 400. let =8. find the probability that a box of 400 tubes will contain: (this is poisson distribution) a.) exactly 4 defectives b.) eat least 4 defective tubes c.) at most 4 defective
The lifetime X (in hundreds of hours) of a certain type of vacuum tube has a Weibull distribution with parameters α = 2 and β = 3. Compute the following.
The probability that a randomly selected box of a certain type of cereal has a particular prize is 0.2. Suppose you purchase box after box until you have obtained three of these prizes. (b) What is the probability that you purchase five boxes? (Round your answer to four decimal places.) (c) What is the probability that you purchase at most five boxes? (Round your answer to four decimal places.) (d) How many boxes without the desired prize do you expect...
The lifetime X (in hundreds of hours) of a certain type of vacuum tube has a Weibull distribution with parameters α = 2 and β = 3.Compute the following. (Round your answers to three decimal places.)
Question 2: A company generally purchases large lots of a certain type of laptop computers. A method is used that rejects a lot if more than 2 defective laptops are found in a lot. Past experience shows that 10% laptops are defective. What is the probability of rejecting a lot of 20 units? What is the probability that in a batch of 20 laptops between 3 and 5 (inclusive) laptops are defective? On the average how many defective laptops are...
A manufacturing company produces part 2205 for the aerospace industry. This particular part can be manufactured using 3 different production processes. The management wants to know if the quality of the units of part 2205 is the same for all three processes. The production supervisor obtained the following data: Process 1 had 29 defective units in 240 items, Process 2 produced 12 defective units in 180 items, and Process 3 manufactured 9 defective units in 150 items. At a significance...
ustion 2: (Discrete Random variable)[2+2-4 marks] A factory produces components of which I % is defective. The components are in boxes of 10 A box is selected at random (a) Find the probability that the box contains at least 2 defective components. (b) Find the mean and the standard deviation of the distribution Cy e length of life of an instrument produced by a machine has a normal distribution with a mean of 12 months and standard deviation of 2...
1. Suppose that the length of time a particular type of battery lasts follows an exponential distribution with a mean of 25.0 days. Find the probability that the average time a sample of 49 batteries lasts is at most 24.7 days a. 0.4665 b. 0.3723 c. 0.6277 d. 0.5335 2. Suppose that the length of time a particular type of battery lasts follows an exponential distribution with a mean of 25.0 days. Suppose the length of time a battery lasts...
Each of 14 refrigerators of a certain type has been returned to a distributor because of an audible, high-pitched, oscillating noise when the refrigerators are running. Suppose that 9 of these refrigerators have a defective compressor and the other 5 have less serious problems. If the refrigerators are examined in random order, let Xbe the number among the first 6 examined that have a defective compressor. Calculate P(x 4) and P(X s P(X=4) = 0.4196 P(X 4) 10.8012 (a) 4)....
1) In a chemical processing plant, it is important that the yield of a certain type of batch product stay above 85%. If it stays below 85% for an extended period of time, the company loses money. Occasional defective batches are of little concern. But if several batches per day are defective, the plant shuts down and adjustments are made. It is known that the yield is normally distributed with standard deviation 3%. (a) What is the probability of a...