Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
The Neatee Eatee Hamburger Joint specializes in soyabean burgers. Customers arrive according to the following inter - arrival times between 11.00 am and 2.00 pm:
Interval-arrival times [mts] probability
3 0.30
5 0.20
6 0.15
8 0.20
10 0.15
People who want burgers arrive in single or groups [2 or more]. The following distribution of arrivals has been observed:
# of people probability
1 0.40
2 0.30
3 0.20
4 0.10
Each customer orders between 1 or 2 burgers as shown below:
Burger/person probability
1 0.75
2 0.25
Due to fluctuation in burger eating habits, time taken per burger is:
Length of stay [mts] probability
10 0.25
15 0.45
20 0.35
[if a group enters the joint, the time in the system for the group is determined by the longest length of stay for an individual in the group]
Simulate the behavior of the hamburger joint for 10 hours
Central Tendency and Dispersion in Statistics: Write a note on the following : i) What is the importance of Measures Of Central Tendency and Dispersion in Statistics ?
Problem : A company supplying electrical products, places a rush order for electric wires. Consignments of wires are to be sent immediately when they are available. Previous
(a) At a stream gauging station, the following discharges and stage measurements were taken for the purpose of the rating curve at that section: Stage (m) 1
Lifts usually have signs indicating their maximum capacity. Consider a sign in a lift that reads "maximum capacity 1400kg or 20 persons". Suppose that the weights of lift-users are
In PCA the eigknvalues must ultimately account for all of the variance. There is no probability,'no hypothesis, no test because strictly speaking PCA is not a statistical procedure
rules for constructing the diagrames
Grouped data For grouped data, the formula applied is σ = Where f = frequency of the variable, μ= population mea
1 Se toma una muestra de 81 observaciones con una desviación estándar de 5. La media de la muestra es de 40. Determine el intervalo de de confianza de 99% para la media
You are currently working with a supplier who is producing a shaft whose diameter specification is 6.00 ± .003 inches. Currently, the process is yielding shafts wit
Flow Chart for Confidence Interval We can now prepare a flow chart for estimating a confidence interval for μ, the population parameter. Figure
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd