Q3:For a job shop with single queue and single server the inter-arrival times of the jobs and their service time isprovided as follows:JobInter-Arrival TimeService Time1324432433246373842931014Construct the simulation table then calculate the following statistics:1. Average time in queue2. Average time in system3. Average queue length4. Server utilizationNN

Since you have posted a question with multiple subparts, we will solve the first three complete…

Q3: For a job shop with single queue and single server the inter-arrival times of the jobs and their service time is provided as follows: Job Inter-Arrival Time Service Time 1 4 4 3 2 2 4 3 3 5 2 4 3 5 7 3 2 8 4 2 9 3 10 1 4 Construct the simulation table then calculate the following statistics: 1. Average time in queue 2. Average time in system 3. Average queue length 4. Server utilization

Q3: For a job shop with single queue and single server the inter-arrival times of the jobs and their service time is provided as follows: Job Inter-Arrival Time Service Time 1 4 4 3 2 2 4 3 3 5 2 4 3 5 7 3 2 8 4 2 9 3 10 1 4 Construct the simulation table then calculate the following statistics: 1. Average time in queue 2. Average time in system 3. Average queue length 4. Server utilization

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

See similar textbooks

Similar questions

The researchers reported:" A 2x2 ANOVA revealed, first of all, a main effect for depletion, indicating that depleted individuals generated less ideas (M = 9.40, SD = 5.64) than non-depleted individuals (M = 12.44, SD = 7.34), F (1, 108) = 6.03, p = .016, n2 = .05. This effect was qualified by the expected interaction with [perseverance], F (1,108) = 4.52, p = .036, n2 = .05". What size are the effects for the main effect of depletion and for the interaction between depletion and perseverance, according to Cohen's conventions? a. These are small- to -medium effects b. These are non existent effects c. These are large effects d. We are unable to tell from from the n2 / r2 statistics
A random sample of senior citizens living in a retirement village reported that they had an average of 1.42 face-to-face interactions per day with their neighbors. A random sample of those living in age-integrated communities reported 1.58 interactions per day. Is the difference between the two senior citizen groups significant? Please provide t critical, t obtained and your decision. Retirement Community 1 Retirement Community 2 Mean1 = 1.42 Mean2 = 1.58 s1 = 0.10 s2 = 0.78 N1 = 43 N2 = 37
Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in x1 = 290 and s1 = 12, and another random sample of 16 gears from the second supplier results in x2 = 307 and s2 = 22. Do the data support the claim that the mean impact strength of gears from supplier 2 is at least 10 foot-pounds higher than that of supplier 1, find the tcalc value? Please report your answer upto 3 decimal places.
A company has two chemist, Mr. Morris and Mr. Logan to produce their drinks. Mr. John, their boss, is not pleased with Mr. Logan’s attitude to work, so he is contemplating firing Mr. Logan andkeeping Mr. Morris only to perform this job. The problem, however, is that Mr. Logan seems to produce a higher quality drink whenever he oversees production when compared to Mr. Morris. Before making a final decision, Mr. John decided to collect data measuring the quality of different batches ofdrinks produced by Mr. Morris and Mr. Logan to make a better-informeddecision. The results, measured on a quality scale, are listed below: Name Average Standard Deviation Sample Size Mr. Logan 98 1 8 Mr. Morris 94 4 10 a) Based on this data above, advise Mr. John whether Mr. Logan isbetter at making the signature sauce than Mr. Morris by usinghypothesis testing – use the critical value approach with a level ofsignificance at 5%.
An aircraft company wanted to predict the number of worker-hours necessary to finish the design of a new plane. Relevant explanatory variables were thought to be the plane’s top speed, its weight, and the number of parts it had in common with other models built by the company. A sample of 27 of the company’s planes was taken, and the following model was estimated:y = β0 + β1x1 + β2x2 + β3x3 + εwherey = design effort, in millions of worker-hoursx1 = plane’s top speed, in miles per hourx2 = plane’s weight, in tonsx3 = percentage number of parts in common with other modelsThe estimated regression coefficients were as follows:b1 = 0.661 b2 = 0.065 b3 = -0.018and the estimated intercept was 2.0.Predict design effort for a plane with a top speed of Mach 1.0, weighing 7 tons, and having 50% of itsparts in common with other models.
A research company has designed three different systems to clean up oil spillages. The following table contains the results, measured by how much surface area (in square meters) is cleared in 1 hour. The data were found by testing each method in several trials. Is there any significant difference in the testing of effectiveness of the three systems? Use the 0.05 level of significance. System A System B System C 256 258 267 261 254 253 264 265 262 257 250 258 260 263 - 256 - -
Q1 A) List down the measures of central tendency and measures of dispersion 2) The operations manager of a plant that manufactures tires wants to compare the actual inner diameters of two grades of tires, each of B) which is expected to be 575 millimeters. A sample of five tires of each grade was selected, and the results representing the inner diameters of the tires, ranked from smallest to largest, are as follows. Grade X grade Y 568 570 575 578 584 573 574 575 577 578 requirement. a) for each of the tow grades of tries, compute the mwan, median, and standred deviation. b) which grade of tire providing better quality? explain. c) what would be the effect on your answer in (a) and (b) if the last value for grade Y were 588 insert 578 explain. C) The file contins the overall miles per gallon (MPG) OF 2010 family sedan: 24 21 22 23 24 34 34 34 20 20 22 22 44 32 20 20 22 20 39 20 Source:…
A researcher has developed a new drug designed to reduce blood pressure. In an experiment, 22 subjects were assigned randomly to the treatment group and received the new experimental drug. The other 24 subjects were assigned to the control group and received a standard, well-known treatment. After a suitable period, the reduction in blood pressure for each subject was recorded. A summary of these data is: nn x¯x¯ ss Treatment group (new drug) 22 23.48 8.01 Control group (old drug) 24 18.52 7.15 Without using software, how would you estimate the number of degrees of freedom for this problem? Select one: use the larger value, 23, chosen from the two options 21 and 23 use the smaller value, 22, chosen from the two options 22 and 24 use the larger value, 24, chosen from the two options 22 and 24 use the smaller value, 21, chosen from the two options 21 and 23
A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. Amount by Which Speed Limit Was Exceeded MaleDriver FemaleDriver 1.3 -0.1 1.3 0.4 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use μmales − μfemales.Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to…
An urban community wants to show that the incidence of breast cancer is higher in their locality than in a neighboring rural area. (PCB levels were found to be higher in the soil of the urban community). If you find that in the urban community 20 out of 200 adult women have breast cancer and that in the rural community 10 out of 150 adult women have it, could you conclude, at a significance level of 0.05, that breast cancer is more prevalent in the urban community?1. The parameter of interest is:2. The hypotheses for this test are:3. The calculated test statistic is:4. The critical region is:5. Draw the critical region (make decision):6. It can be concluded that:
Samples are collected from the River X and pH values are observed. 9 different pH values arelisted in table 3.Table 3Concentrations 4.2 3.8 6.0 3.5 8.1 4.9 4.1 3.2 4.0Draw box plot and finda. Bowley’s coefficient of skewnessb. Karl Pearson’s coefficient of skewnessc. Third momentRubricStages of Process MarksImagine and Plan 2Composition 2Effort 1
Intergarated products Need to estimate its pc sales for the nextnext year. the most recent six years of revenue data for the companys line of xt personal computers and those of the industry, is found in the table below; Year XT PC Sales (000,000) All Industry PC Sales Revenue 1 2.4 4.6 2 5.9 8.6 3 15.5 10.7 4 27.8 14.8 5 35.9 18.5 6 38.1 19.4 a) Assuming that the sales data above are representative of sales expected next year , use time series regression analysis to forecast next years sales b) determine the correlation correlation for he ime forecast and interpret is meaning c) find the coefficient of determination for the time series forecast and intpret it s meaning d) perform a regression analysis between the annual sales revenues of XT Personal computers and all personal computers if the estimate of next years industry PC sales revenues is $21.9 billion? e) which independent variable should intergrated products coporation IPC choose for its forcasting of sales…