Ahmed owns a gas station. The cars arrive at the gas station according to Uniform distribution with inter-arrival of minimum time of (a) minutes and maximum time is (b) minutes(as in table below). The car service time is given by the following service time distribution:Service Time(in minutes)69Arrival Time (inMinutes)ServiceServiceWaitingRandomNumberServiceRandomNumberCompletionTimespent inSystem10.0010.9810.67Blank-1Blank-46Blank-213.9419.9421.94Blank-319.940.0212.5416.90.56611.0450.2427.9436.948.6Average waiting Time=Blank-5Utilization Rate (Fraction of 1) =Blank-6Find the followingsMust round up to 2-digits after decimal point01) What is the Blank-1 ValueQ2) What is the Blank-2 Value03) What is the Blank-3 ValueCock Save and SchmerCustomer2Interarrivaldo

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Answered: Ahmed owns a gas station. The cars…

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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Background: You just finished teaching your first PSYCH 248 lab section, and it’s time to calculate the grades. Your wonderful teaching assistant created an Excel file with all of the students’ exam grades, homework grade, and lab grade as well as their gender. Your next steps are to calculate each student’s final grade, convert those scores to letter grades, and describe the distribution of scores. 2. In Excel, calculate the final Number Grade, Letter Grade, and Z-score for each student. a. To calculate the Number Grade, type a numerical equation after an = sign in a cell or use the =AVERAGE() formula; however, keep in mind that the =AVERAGE() formula will always give you the regular mean, not the weighted mean. Grades for this course are comprised of three parts: lecture exams (60%), homework (20%), and lab (20%). b. To calculate the Letter Grade, use the =IF() formulawith a series of logic statements or enter the data by hand. For this assignment, let’s convert Number Grade into…
tion 9.32. Following is the distribution of marks obtained by 50 students in Mercantile Law. Calculate the median marks. If 60 per cent of the students pass this test, find the minimum marks obtained by a pass candidate,
Background: You just finished teaching your first PSYCH 248 lab section, and it’s time to calculate the grades. Your wonderful teaching assistant created an Excel file with all of the students’ exam grades, homework grade, and lab grade as well as their gender. Your next steps are to calculate each student’s final grade, convert those scores to letter grades, and describe the distribution of scores. Data Management Steps: 2. In Excel, calculate the final Number Grade, Letter Grade, and Z-score for each student. a. To calculate the Number Grade, type a numerical equation after an = sign in a cell or use the =AVERAGE() formula; however, keep in mind that the =AVERAGE() formula will always give you the regular mean, not the weighted mean. Grades for this course are comprised of three parts: lecture exams (60%), homework (20%), and lab (20%). b. To calculate the Letter Grade, use the =IF() formulawith a series of logic statements or enter the data by hand. For this assignment, let’s…
hi, could you please help me with solving this problem? thank you
find sample co efficient of variation 10,1,15,16,17,18,18,19,20
In order to estimate the difference between the yearly incomes of marketing managers in the East and West of the United States, the following information was gathered: East West n1= 40 I1=72 (in $1000s) 2= 78 (in $1000s) 51 =6 (in $1000s) n2= 45 s2 = 8 (in $1000s) Develop an interval estimate for the difference between the average yearly incomes of the marketing managers in the East and West. Use a = .05. At 95% confidence, use the p-value approach and test to determine if the average a. b. yearly income of marketing managers in the East is significantly different from the West
Which of the following sets of data represent valid functions? OS = {(0, – 1), (3, 1), (6, 4), (7, 9), (13, 14)} || OF = {(- 3, – 2), (1, 2), (1, 4), (8, 9), (13, 15)} OR = {(-1, - 2), (2, 1), (4, 5), ( – 1, – 2), (10, 13)} | OG = {(- 4, - 5), (2, 3), (4, 5), (9, 8), (14, 10)} Calculator Check Answer MacBook Air
For the following situations, identify the type of variable (qualitative, nominal, ordinal, quantitative, discrete, continuous, interval, ratio), multiple types may apply. 1) Data of weight gain of rats fed only junk food for four weeks in an experiment. 2) Data collected from the order that students finsih their exam. 3) Time it takes for a car battery to die
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
The data below is provided by the local ice-cream shop that keeps track of how many ice-creams aresold versus the temperature on that day. Here are the figures for the last 7 days. Let x; represent thetemperature ofthe respective days and let /; represent the ice cream sales on the respective days'Day I 2 3 4 5 6 7Ice cream Temp oC 14.2 16.4 l l.9 15.2 18.5 22.1 19.4Sales (N$) 215 325 185 332 406 s22 412Required:i. Compute and interpret the sample covarianceii. Compute and interpret the sample correlation coefficient
Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes the variables margin; - the Net's margin of victory (number of points the Nets scored minus the number of points their opponent scored) for game i, and • home; - a dummy variable equal to 1 when the Nets are the home team (game i was played in their home arena) and equal to 0 when they are the away team (game i was played in the opponent's arena). I use the least-squares method to estimate the following regression model margin = a + ßhome; + ei Below is the Stata output corresponding to the estimated regression line: regress margin home if team==== "Brooklyn Nets" Source Model Residual Total margin home _cons SS 1459.95122 15252.0488 16712 df 1 80 Coef. Std. Err. MS 81 206.320988 8.439024 3.049595 -5.219512 2.156389 1459.95122 190.65061 t Number of obs F (1, 80) Prob > F R-squared. Adj R-squared = Root MSE P>|t| 2.77 0.007 -2.42 0.018 82 7.66 0.0070 0.0874 0.0760 13.808 [95% Conf. Interval]…

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