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- For the given data generate the forecast for each of the time period using moving average for n=3 periods and weighted moving average for n=D4, also find the forecast for the 9th 10th and 11th. S.NO DEMANDS MOVING AVERAGE n=3 WEIGHTED MOVING AVERAGE n=4 1 100 2 120 3 110 4 130 110 140 120 119 160 126.67 129 7 150 143.33 143 8 140 150 148 9. 150 1474. Using the method of Least Squares, determine to 6-decimal place the necessary values of the coefficient C1 and C2 in the equation from the given data points. 1 y = C, + C2x A C 2.07 8.60 14.42 15.8 Where: ABCDEF is your student number. Example, if your student number is 484321. A = 4 B = 8 C = 4 D = 3 5. Using the same data points given in problem 4, solve for the Newton's Interpolating Polynomials.A firm provides solution regarding forecast over a 6 month cycle. The following data is regarding the present task of forecast being worked out by the firm. Determine the forecast for the month of April. Month Demand Jan 200 Feb 100 Mar 350 A 108.33 162.5 WRONG C C 216.667 D 384.12
- A flow meter sensor is connected to the microcontroller card to convert the signal and display it as a volume flow rate (L/min.) on the data show screen. Standard volume (graduated cylinder) with stopwatch were employed to calibrate the assemble system, and the calibration results were tabulated as following: Measuri L/min. 51 52 54.5 57 68 ng value Real L/min. 53 55 57 64 71 76 77 0 73 74 80 value Determine: 1- Absolute relative error (ARE). 2- Mean value, deviation (error) value and standard deviation (σ). 3- Draw the calibration curve.Read the questions carefully and answer with complete solution and units. Use the steam tables provided and use 4 decimal places for solving. Final answers shown are in 2 decimal places. Draw the T-S diagrams properly with respect to the saturation line A steam power plant uses the ideal Reheat-Regenerative Rankine cycle where the steam enters the high-pressure turbine at 4 MPa and 300C. It partially expands to 600 kPa where some steam is extracted for feedwater heating while the rest is reheated to the same temperature. After expanding again, it enters the condenser at 10 kPa. Sketch the schematic diagram and the TS diagram with labeled points, and solve for mass taken for feedwater heating, Qa, Qr, Wt, Wp, Wnet, thermal efficiency, and Steam rate. Neglect the condensate pump work. 20.01%, 2667.841,1715.52,955.97, 3.74,952.32¹,3 35.69%, 3.78- kg kg kg kg kWh IProject 1 100 20. 150 200 250 300 350 400 450 500 550 600 650 QUPIDHFC-134a 700 200. 10. 8. 0.00124 o 0013 -0.0014 r0.0016 - 00018 0.0020 Pressure-Enthalpy 0.001 0.0030 6. Diagram 100. volume - 0.0040 mikg 80. (SI Units) 4. 0.0060 60. 0.0080 0.010 40. 2. 0.015 0 020 20. 1. O 030 0.040 0.8 10. 8. 0.6 0.060 0.4 0080 010 0.2 0.15 020 0.1 0.08 030 0.40 0.06 1. 0.8 0.60 0.04 O80 0.6 1.0 0.4 0.02 15 20 0.2 0.01 100 150 200 250 300 350 400 450 500 0.1 700 550 600 650 Enthalpy (kJ/kg) Refrigerant HFC-134a as the working fluid (the P-h chart is attached to this activity look at page 3) - Ideal cycle operation condition is assumed Cycle is operated at high pressure line of 0.8 MPa Cycle is operated at low temperature line of – 10° C Flow rate is 0.1 kg/sec Task.1 1. Determine the Refrigeration effect (RE), heat of compression (HOC), and heat of rejection (HOR) and their corresponding rate/power values in kW. 2. Estimate the COPR 3. Determine the low-pressure line value. Pressure (bar) 4. 2. OPद…
- Actual lengths of stay at a hospital's emergency department in 2009 are shown in the following table (rounded to the nearest hour). Length of stay is the total of wait and service times. Some longer stays are also approximated as 15 hours in this table. Hours Count Percent 1 18 3.40 2 58 10.94 3 82 15.47 4 118 22.26 85 16.04 6 64 12.08 7 37 6.98 8 19 3.58 18 3.40 10 14 2.64 15 17 3.21 Calculate the mean and variance for the random variable (length of stay). Round your answers to two decimal places (e.g. 98.76). Mean = i Variance = i 5.Customers arrive at a bakery at an average rate of 18 per hour on weekday mornings. Thearrival distribution can be described by a Poisson distribution with a mean of 18. Each clerkcan serve a customer in an average of three minutes; this time can be described by an exponential distribution with a mean of 3.0 minutes.a. What are the arrival and service rates?b. Compute the average number of customers being served at any time.c. Suppose it has been determined that the average number of customers waiting in lineis 8.1. Compute the average number of customers in the system (i.e., waiting in lineor being served), the average time customers wait in line, and the average time in thesystem.d. Determine the system utilization for M = 1, 2, and 3 servers.The actual trace of machined surface examined by surface profilometers is shown in the figure, he following data were obtained from this graph center line abcdefghijk 10 8 5 78485459 abcde 10. Then the root mean square is A. 5.36 B. 6.36 C.5.51 D. 6.7 PONE OF THE ABOVE 11. Then the Arithmetical average is A. 5.28 B.6.63 C.5.51 E. NONE OF THE Above D. 6.93 12. Maximum roughness height is A. 3 B. S C.6 D.4 E. Cant be calculated-
- Project 1 100 20. 150 200 250 300 350 400 450 500 550 600 650 CUPONTHFC-134a 700 200. 0.0016 1- 00018 10. Pressure-Enthalpy 0.0014 000124 0.0020 8. 0.0030 100. 80. 6. Diagram volume-0.0040 mikg (SI Units) 0.0060 0 0080 0.010 60. 40. 2. 0.015 0 020 20. 0030 0.8 0.040 10. 8. 0.6 0.060 0.4 6. 0 080 010 0.2 0.15 020 2. 0.1 0.08 0.30 0.40 1. 0.8 0.06 060 0.04 0.6 O80 1.0 0.4 0.02 1.5 20 0.2 0.01 100 150 200 250 300 350 400 450 0.1 700 500 550 600 650 Enthalpy (kJ/kg) Refrigerant HFC-134a as the working fluid - Ideal cycle operation condition is assumed Cycle is operated at high pressure line of 0.8 MPa Cycle is operated at low temperature line of – 10° C - Flow rate is 0.1 kg/sec The head of the department in the company that you are working in asked you to make use of pressure - enthalpy chart provided for HFC-134a refrigerant a. Construct didactic sketches, showing the operating principles of a refrigeration system Pressure (bar) 4. -Dozz -auneadu H 061 ta 091 Ti 1000 06 0 - --- 99'O 09…3. A mechanical system consists of the 6 components as shown. Component reliabilities at 100 hours of operation are given in the blocks. Assume exponential distribution. Find a) the system reliability, b) the system failure rate. 0.8 0.8 0.8 0.7 0.7 0.9The number of suits sold per week by a store follows a Poisson distribution with mean 14. Then the probability that the magazine sold exactly 2 suits per day is equal to: O None of these O 0.2707 0.0001 0.6767