Queuing Theory
I have a question that I must determine if the service rate can be assumed to be exponential by this data. I am unsure how to show it follows an exponential distribution.
13.9 22.3 2.1 4.9 1.6 4.4 4.0 5.0 0.1 2.7 2.2 31.0 18.8 18.0 0.2 7.1 18.4 1.1 7.9 6.5 6.2 2.7 1.8 6.7 1.9 20.6 16.8 4.3 4.1 0.5
by using r software
and by using Q-Q plot
we can check whether given data is coming from exponential distribution or not.
r code-
r output-
here from graph
we observed that all points are lies nearly equal on line
thus,
we conclude that the given data coming from exponential distribution
Queuing Theory I have a question that I must determine if the service rate can be assumed to be exponential by this data. I am unsure how to show it follows an exponential distribution. 13.9 22.3 2.1...
The data on the below shows the number of hours a particular drug is in the system of 200 females. Develop a histogram of this data according to the following intervals: Follow the directions. Test the hypothesis that these data are distributed exponentially. Determine the test statistic. Round to two decimal places. (sort the data first) [0, 3) [3, 6) [6, 9) [9, 12) [12, 18) [18, 24) [24, infinity) 34.7 11.8 10 7.8 2.8 20 9.8 20.4 1.2 7.2...
Please solve In their discussion of the Lindley distribution, Ghitany et al. (2008) considered the data given in Table 1 and available on Blackboard as the Robject waitingtimes.dat. It summarises the waiting time, in minutes, of 100 bank customers before they were served. 0.8 2.9 4.3 5.0 6.7 8.2 9.7 11.9 14.1 19.9 0.8 3.1 4.3 5.3 6.9 8.6 9.8 12.4 15.4 20.6 1.3 3.2 4.4 5.5 7.1 8.6 10.7 12.5 15.4 21.3 1.5 3.3 4.4 5.7 7.1 8.6 10.9...
An object of weight 1 N is falling vertically. The time vs. speed data can be found here. In this case the effect of air-drag cannot be neglected. Use your critical thinking to estimate the air-drag coefficient . Make sure you include the units in your answer. 0 0 0.1 0.9992 0.2 1.993 0.3 2.978 0.4 3.948 0.5 4.898 0.6 5.826 0.7 6.728 0.8 7.599 0.9 8.438 1 9.242 1.1 10.01 1.2 10.74 1.3 11.43 1.4 12.09 1.5 12.7 1.6 ...
We consider the multiple linear regression with LIFE (y) as the response variable, and MALE, BIRTH, DIVO , BEDS, EDUC, and INCO, as predictors. QUESTION: Plot the standardized residuals against the fitted values. Are there any notable points. In particular look for points with large residuals or that may be influential. # please screenshot the Rcode for the plot. # data information are as follows: "STATE" "MALE" "BIRTH" "DIVO" "BEDS" "EDUC" "INCO" "LIFE" AK 119.1 24.8 5.6 603.3 14.1 4638...
QUESTION 7 The data set Beer Large, which can be found in StatCrunch Shared Data Sets, gives the Alcohol, Carbohydrates and Calories for different brands of beer. The explanatory variable is x + Carbohydrates and the response variable is Y - Calories. Use this information to answer: Calculate the correlation between carbohydrates and calories. (4 decimal places) Row vars varo var var 8 var9 var 10 2 الميا ABV 4.1 5.4 4.43 4.13 5.9 4.9 Carbs 2.6 13.7 5.8 5...
Census data was collected on the 50 states and Washington, D.C. We are interested in determining whether average lifespan (LIFE) is related to the ratio of males to females in percent (MALE), birth rate per 1,000 people (BIRTH), divorce rate per 1,000 people (DIVO), number of hospital beds per 100,000 people (BEDS), percentage of population 25 years or older having completed 16 years of school (EDUC) and per capita income (INCO). A MLR model has LIFE (y) as the response...
We consider a multiple linear regression model with LIFE (y) as the response variable, and MALE (x1), BIRTH (x2), DIVO (x3), BEDS (x4), EDUC (x5), and INCO (x6), as predictors. "STATE" "MALE" "BIRTH" "DIVO" "BEDS" "EDUC" "INCO" "LIFE" AK 119.1 24.8 5.6 603.3 14.1 4638 69.31 AL 93.3 19.4 4.4 840.9 7.8 2892 69.05 AR 94.1 18.5 4.8 569.6 6.7 2791 70.66 AZ 96.8 21.2 7.2 536.0 12.6 3614 70.55 CA 96.8 18.2 5.7 649.5 13.4 4423 71.71 CO 97.5...
data file: "STATE" "MALE" "BIRTH" "DIVO" "BEDS" "EDUC" "INCO" "LIFE" AK 119.1 24.8 5.6 603.3 14.1 4638 69.31 AL 93.3 19.4 4.4 840.9 7.8 2892 69.05 AR 94.1 18.5 4.8 569.6 6.7 2791 70.66 AZ 96.8 21.2 7.2 536.0 12.6 3614 70.55 CA 96.8 18.2 5.7 649.5 13.4 4423 71.71 CO 97.5 18.8 4.7 717.7 14.9 3838 72.06 CT 94.2 16.7 1.9 791.6 13.7 4871 72.48 DC 86.8 20.1 3.0 1859.4 17.8 4644 65.71 DE 95.2 19.2 3.2 926.8 13.1...
Coding in C++ Write a program using structures to store the following weather information: - Month name - Day of month (Monday, Tuesday, etc) - High Temperature - Low Temperature - Rainfall for the day Use an the input.txt file to load the data into weather structures. Once the data for all the days is entered, the program should calculate and display the: - Total rainfall for the data - Average daily temperatures. (note: you'll need to calculate the days...