IV. APPLICATION AND ANALYSIS ON QUEUING THEORY.Direction: Given the following assumptions, derive the answer/s for each question.In answering the questions, copy the questions into the Output Area and write your answers after each question.Assumptions:Mean Arrival Rate (2) = 3 customers/hourNumber of Ser vers (C ) = 1Mean Service Rate (U) = 4 customer s/hour1.Calculate and determine the Occupation Rate. (p)2.What is the average number in system average (L)?3.Determine the average system in system (W).4.What is the average time in queue (Wq)?5.Determine the length of queue (Lq).Capacity Demandp =Available Capacity u=-L=p/(1- p)Lq= p2/(1- p) = L-pW=LA=1/(u- 2)We-Lψλ- λ( μ(μ- λ)

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Answered: IV. APPLICATION AND ANALYSIS ON QUEUING…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of fifteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Also given is the product of the distance from the beach and the house price for each of the fifteen houses. (These products, written in the column labelled "xy", may aid in calculations.) Distance from the beach, x (in miles) Selling price, y (in thousands of dollars) xy 5.0 270.1 1350.5 11.5 205.9 2367.85 5.9 309.4 1825.46 12.2 200.6 2447.32 2.6 307.1 798.46 5.9 266.0 1569.4 8.3 297.3 2467.59 18.3 224.2 4102.86 6.5 242.4 1575.6 12.1 192.6 2330.46 11.6 229.4 2661.04 9.5 230.9 2193.55 10.1 277.0 2797.7 13.5 270.8 3655.8 6.2…
2. A.) Find the 5-number summary for the data. B.) Is the data discrete or continuous?
No. Emp. No. Prod. Wkrs. Value Added by Mfg. Cost of Materials Value of Indus. Shipmnts New Cap. Exp. End Yr. Inven. Indus. Grp. 433 370 23518 78713 4 1833 3630 1 131 83 15724 42774 4 1056 3157 1 204 169 24506 27222 4 1405 8732 1 100 70 21667 37040 4 1912 3407 1 220 137 20712 12030 4 1006 1155 1 89 69 12640 13674 3 873 3613 1 26 18 4258 19130 3 487 1946 1 143 72 35210 33521 4 2011 7199 1 171 126 20548 19612 4 1135 3135 1 21 15 23442 5557 3 605 5506 2 3 2 287 163 1 2 42 2 2 2 1508 314 1 15 155 2 6 4 624 2622 1 27 554 2 52 47 2471 4219 2 292 929 3 74 63 4307 5357 2 454 1427 3 13 12 673 1061 1 20 325 3 17 13 817 707 1 84 267 3 169 147 8986 10421 3 534 2083 3 51 41 3145 4140 2 220 697 3 55 44 4076 7125 2 176 1446 3 84 76 3806 8994 2 423 1014 3 61 47 4276 5504 2 464 1291 3 27 22 1239 716 1 22 356 4 200 178 9423 8926 3 200 2314 4 294 250 11045 11121 3 189 2727 4 38 32 1916 2283 1 29 682 4 17 14 599 364 1 21 197 4 34 28 2063 1813 1 20…
1. Instruction: For each of the following variables, indicate whether it is qualitative or quantitative. For quantitative variables, further categorize them into the discrete or continuous type. (a) Gender (b) Hospital bed capacity. (c) Blood glucose level (in mg/100 mL) (d) Systolic blood pressure (e) Height (in centimeter) (f) Blood type (g) Per capita income (h) Household size (i) Mid-upper arm circumference (in centimeter) () Region (k) Pulse rate (I) Civil status
Please do & explain with steps: Subparts e f & g please & thank u
Interpolate the Sales for 1990 from the following data. Years : 1988 1989 1990 1991 1992 Sales : 250 290 ? 390 425 Use Parabolic curve method.
Based on the scree plot below, how many components would you choose? O-0 2. Comp.5 Comp.9 Comp. 13 Comp.17 Comp.21 Comp.1 9. 4.
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2009 Seafood 2000 Qty. (lb) Price ($/lb) Price ($/lb) Halibut 75,190 2.01 2.43 Lobster 83,180 3.72 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna L (b) decimal place.) pute a weighted aggregate price index for the seafood catch. (Round your answer to 2009 = Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have increased by % over the 9-year period according to the index.
Illustration 13.1. Construct index numbers of prices from the following data using (a) Laspeyre's (b) Paasche's (c) Marshall and fEdgeworth, and (d) Fisher's methods. 1960 1970 Commodity Price Qиantity Price Quantity A 4 50 10 40 3 10 9. 2 C 4 2
I just need the d section
We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of sixteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Distance from the beach, x (in miles) 5.1 6.2 9.5 10.3 10.7 5.3 12.6 13.0 19.4 8.2 5.2 3.8 9.0 11.7 11.5 8.3 Send data to calculator V Selling price, y (in thousands of dollars) 263.5 274.6 238.6 223.7 267.1 306.2 202.5 267.7 217.3 224.7 241.0 312.0 284.6 210.9 185.6 294.2 Send data to Excel thousands of dollars) Selling price 350+ 300+ Figure 1 250 200 150. 0 Distance from the beach (in miles) Español F00 ? D 1 As M
Use the scatter plot to answer the following questions: 1. What type of association does the scatter plot have? (Positive, negative or no association) 2. As the monthly income (increases or decreases), the percent of the income save (increases or decreases) 3. Which person makes the most money per month? ( Nancy or mike.) How much do they make? (1,800 or 2,400)

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