4. The number of flaws in bolts of cloth in textile manufacturing is assumed to be Poisson distributed with a mean of 0.1 flaw per square meter. (a) What is the probability that there are two flaws in 1 square meter of cloth? (b) What is the probability that there is one flaw in 10 square meters of cloth? (c) What is the probability that there are no flaws in 20 square meters of cloth? (d) What is the probability that there are at least two flaws in 10 square meters of cloth?

4. The number of flaws in bolts of cloth in textile manufacturing is assumed to be Poisson distributed with a mean of 0.1 flaw per square meter. (a) What is the probability that there are two flaws in 1 square meter of cloth? (b) What is the probability that there is one flaw in 10 square meters of cloth? (c) What is the probability that there are no flaws in 20 square meters of cloth? (d) What is the probability that there are at least two flaws in 10 square meters of cloth?

Elements Of Electromagnetics

7th Edition

ISBN:9780190698614

Author:Sadiku, Matthew N. O.

Publisher:Sadiku, Matthew N. O.

ChapterMA: Math Assessment

Section: Chapter Questions

Problem 1.1MA

See similar textbooks

Similar questions

1. The mean and standard deviation of a process are known to be μ 200 and o = 10. Calculate specification limits that should contain at least 99% of the population assuming: a. Nothing is known about the distribution shape (Cheyshev). b. The distribution is unimodal (Camp-Meidell). c. The distribution is normal.
A manufacturing plant produces a product whose mass follows a normal distribution with mean of 2.9 kg and a standard deviation of 0.4 kg. a) What is the probability that one such product pulled at random has a mass less than 2.0 kg? P(x 3.5)=
Pressure distribution measurements are made on a two-dimensional wing model placed in a wind tunnel. The difference between the static pressure sockets on the surface and the static pressure of the free stream is measured. 30 data is taken at each measurement point. The average of the values measured from one of the sockets near the trailing edge was calculated as 2.30 Pa, and the standard deviation was calculated as 2.65 Pa. After applying the Chauvenet criterion to these measurement values, it was decided to eliminate 3 measurements and the new mean value was found to be 2.18 Pa and the standard deviation was 2.42. It was verified that the unexcluded data fit the normal distribution curve. Data above how many Pa and below how many Pa were eliminated? Estimate how many data have negative value (?<0) after elimination.
A flexible pavement has a 4-inch sand-mix asphalt wearing surface, 10-inch soil cement base, and a 10- inch crushed stone subbase. It is designed to withstand 400 20-kip single-axle loads and 900 35-kip tandem-axle loads per day. The subgrade CBR is 8, the overall standard deviation is 0.45, the initial PSI is 4.2, and the final PSI is 2.5. What is the probability that this pavement will have a PSI above 2.5 after 25 years? (Drainage coefficients are 1.0.) Use the editor to format your answer
2. Show, with sketches, the differences between the shear stress of solids and fluids when subjected to a tangential force. 3. Is there any concern that blood flow in the human retina will become turbulent? If the blood density is 1060 kg/m³, the inside diameter of the arteriole is 0.0075 cm, the mean velocity in the vessel is 3 cm/s, and the viscosity measured as 0.00349 Ns/m².
mecha
5. A farmer has a 4-row, 101.6 cm planter. In 30 m of travel distance, the farmer finds that the planter meters an average of 200 seeds per row. What is the population? 6. In calibrating a 6-row, 76.2 cm row crop planter, an average of 610 seeds are counted in a row length of 131.2 m. What is the planting rate?
Test the claim that the samples come from populations with the same mean. Assume that the populations are normally distributed with the same variance. 1) Given the sample data below, test the claim that the populations have the same mean. Use 1) a significance level of 0.05. Brand A n = 10 x = 32.1 s2 = 4.37 Brand B n = 10 x = 32.6 s2 = 3.61 Brand C n = 10 x = <= 27.2 s² = 3.34
A process converts lead to gold. However, the production varies due to the power of the alchemist. It is known that the process is normally distributed with a standard deviation of 2.5g. How many samples must be taken to be 90% certain that an estimate of the mean process is within 1.5g of the true but unknown mean yield?
. 2) A following figure and table display creep test data obtained from a uniaxial specimen having an initial gauge length of 2 cm. Calculate the steady-state creep rate. Length |(cm) 2.3 Time | (h) 2.25 2.004 2.2 100 2.010 200 2.020 400 2.030 1000 2000 2.045 2.075 2.1 2.05 4000 2.135 6000 2.193 7000 2.230 1.95 8000 2.300 1000 2000 3000 4000 5000 6000 7000 8000 Time (h) (rupture) | Length between the gauge marks (cm) 2.
Suppose you have conducted 25 measurements of a random variable (Temperature) and obtained the following data in Table 2 below: Calculate the sample mean temperature, standard deviation, and standard deviation of the means of these temperature measurements. Estimate 95% confidence interval for true mean temperature. Determine the range within which the true mean temperature exists at a 95% confidence level based on this finite dataset
A certain powder has a distribution that is log- normal with a number median diameter of 10 um and a geometrical standard deviation of 1.8. Using definite integrals, determine the fraction of particles by mass that is contained within the size range from 10 to 15 um.