A certain kind of sheet metal has, on average, 9 defects per 10 square feet. Assuming a Poisson distribution, find the probability that a 12 square foot metal sheet has 14 defects. (rounded to four decimal places)
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- Expected return and standard deviation. Use the following information to answer the questions: a. What is the expected return of each asset? b. What is the variance of each asset? c. What is the standard deviation of each asset? Hint: Make sure to round all intermediate calculations to at least seven (7) decimal places. The input instructions, phra answers you will type. Data table (Click on the following icon in order to copy its contents into a spreadsheet.) Return on Asset A in State of Economy Boom Normal Recession Probability of State 0.35 0.51 0.14 Print State 0.05 0.05 0.05 Done Return on Asset B in State 0.23 0.08 -0.05 Return on Asset C in State 0.33 0.17 -0.22Use the trial and error method combined with linear interpolation to solve for the IRR of The Judas design (to one decimal place, XX.X%)1. Determine the NPV of the new computer system (use 3 decimal places for the PV factor)
- To 4-digit accuracy, what is the Mean of IWM return and the Mean of EEM return?Suppose that Motorola uses the normal distribution to determine the probability of defects and the number of defects in a particular production process. Assume that the production process manufactures items with a mean weight of 10 ounces. Calculate the probability of a defect and the suspected number of defects for a 1,000-unit production run in the following situations. a. The process standard deviation is 0.15, and the process control is set at plus or minus one standard deviation. Units with weights less than 9.85 or greater than 10.15 ounces will be classified as defects. b. Through process design improvements, the process standard deviation can be reduced to 0.05. Assume that the process control remains the same, with weights less than 9.85 or greater than 10.15 ounces being classified as defects. c. What is the advantage of reducing process variation, thereby causing process control limits to be at a greater number of standard deviations from the mean?Can you answer this queston from the image below. Determine the crossover rate. Approximate your answer to the nearest whole number.
- Please include excel formula Using the following returns, calculate the arithmetic average returns, the variances, and the standard deviations for X and Y. Input area: Year X Y 1 13% 27% 2 26% 36% 3 7% 11% 4 -5% -29% 5 11% 16% (Use cells A6 to C11 from the given information to complete this question. You must use the built-in Excel function to answers this question. Make sure to use the “sample” Excel formulas.) Output area: Asset X: Average return Variance Standard deviation Asset Y: Average return Variance Standard deviationFour long, parallel conductors carry equal currents of = 1.00 A. The figure below is an end view of the conductors. The current direction is into the page at points A and B and out of the page at C and D. A × C B(x (a) Calculate the magnitude of the magnetic field at point P, located at the center of the square of edge length = 0.200 m. μεWhat is the probability of generating a random number between 0.25 and 0.85 (to 1 decimals)?
- Calculate the variance of the following returns. Return Year 1 2 3 4 5 0.17 0.2 -0.17 0.24 0.03 Enter the answer with 4 decimals, e.g. 0.1234.Calculate the geometric mean return for the following data set: (Negative value should be indicated by a minus sign. Round your intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) -14% 15% -16% 13.7% Geometric mean return 14.1% %1. Imagine a triple-slit "grating", where the distance to the screen is much larger than the distance between the slits. By using phasors, show that the intensity of the interference pattern is given by I = I(1 + 4 cos & + 4 cos² ø). (Hint: Recall the intensity of fringe pattern in Young's two-slit interference experiment.)