2. Clark Property Management is responsible for the maintenance, rental, and day-to-dayoperation of a large apartment complex on the east side of New Orleans. George Clark isespecially concerned about the cost projections for replacing air conditionercompressors. He would like to simulate the number of compressor failures each yearover the next 20 years. Using data from a similar apartment building he manages in aNew Orleans suburb, Clark establishes a table of the relative frequency of failures duringa year as shown in the following table:NUMBER OF A.C.PROBABILITYCOMPRESSOR FAILURES(RELATIVE FREQUENCY)0.060.130.250.2840.2050.070.01He decides to simulate the 20-year period by selecting the last two-digit randomnumbers from the first line (101), starting with the random number 23. Conduct thesimulation for Clark. Is it common to have three or more consecutive years of operationwith two or fewer compressor failures per year?

Answered: Image /qna-images/answer/f1ffaeeb-90c4-4d27-9ddf-a7951af029ab.jpg

Answered: 2. Clark Property Management is…

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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Question 1 Is the value of education worth its cost? Education costs are easy to calculate. They include tuition, books and living expenses as well as the cost of foregone income that a job would have provided. In an effort to learn more about the value of education, a university vice-president gathered data from a sample of 150 men and women (30 years old). Each was asked how many years of formal education he or she had completed (x) and his or her income (in $1000) for the previous 12 months (y). Summaries of a study conducted of n=150 people gave the following results (in $1000 s) Ex=1976, Ey= 11719, SSxx=1657, SSyy=65247, SSxy=6857 a) Calculate the correlation coefficient (r) relating number of years of formal education and income. b) Find the regression line. c) Identify and interpret the slope in the context of the problem. d) If a person had completed 12 years of formal education, what would you estimate the person's income to be? e) (i)If two variables have a correlation…
Problem 1. Fifteen adult males between the ages of 35 and 50 participated in a study to evaluate the effect of diet and exercise on blood cholesterol levels. The total cholesterol was measured in each subject initially and then three months after participating in an aerobic exercise program and switching to a low-fat diet. The data are shown in the following table. Blood Cholesterol Level Subject Before After 1 265 229 240 231 3 256 228 4 295 240 251 238 6 245 241 7 287 234 8. 313 259 254 244 10 279 239 11 283 246 12 240 218 13 238 219 14 225 226 15 247 233 Do the data support the claim that low-fat diet and aerobic exercise are of value in producing a mean reduction in blood cholesterol levels? Use a=0.05. Suppose that the hypotheses are H,: u, =0 versus H,: µ, >0, where d, = Before,-After, What is the test statistic? a. b. Calculate a one-sided confidence limit that can be used to answer the question in part (a).
I'm asking for help on the bullet point "Find the interquartile range..." using the data set from 1-4 in the first picture.
A quality control engineer studied the relationship between years of experience as a system control engineer and the capacity of the engineer to complete within a given time a complex control design including the debugging of all computer programs and control devices. A group of 25 engineers having widely differing amounts of experience (measured in months of experience) was given the same control design project. The results of the study are given in the following table with y 5 1 if the project was successfully completed in the allocated time and y 5 0 if the project was not successfully completed. a. Determine whether experience is associated with the probability of completing the task. b. Compute the probability of successfully completing the task for an engineer having
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Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the last five years, sales of the company's flagship product - the Wizer Anonymizer (the WA) - have been 45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so. Ms. Jacobsen believes that the distribution of the WA's sales is normal with a standard deviation of 1500 units. If she were asked to make a forecast of next year's sales to upper management, what is the likelihood that she would be correct if she predicts sales between 43000 and 46000?
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Please disregard question 2 in the images.
Suppose the following table represents world oil production in millions of barrels a day for a recent period of time. Complete parts a and b. Region Oil Production (millions of barrels a day) Iran 6.97 Saudi Arabia 8.76 Other OPEC countries 21.77 Non-OPEC countries 53.53 Question content area bottom Part 1 a. Compute the percentage of values in each category. Region Oil Production (millions of barrels a day) Percentage Iran 6.97 enter your response here% Saudi Arabia 8.76 enter your response here% Other OPEC countries 21.77 enter your response here% Non-OPEC countries 53.53 enter your response here% (Round to two decimal places as needed.) Part 2 b. What conclusions can you reach concerning the production of oil in the specified time period? Oil production by non-OPEC countries accounted for ▼ less than a quarter more than half slightly less than half more than three dash quarters of total oil production. Oil production by OPEC countries other than Iran…
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Problem #1b: Use a two-month weighted moving average to create a forecast for May, using the weights: 0.6 and 0.4 (largest weight is for the most recent data). Calculate the forecast errors associated the weighted moving average forecasts. Month Demand January 18 February 23 March 20 April 16 May ???

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