Find distribution - expected value and variance, Advanced Statistics

Assignment Help:

We are installing a router for our network.

We believe that the time between the arrival of packets will be exponentially distributed with parameter R = 2 packets/second, and that these times are independent given R. We believe that each packet, independently, will either go to the server (with probability S = 0.4), the laser printer (with prob. 0.2), or to one of computers (with prob. 0.4).

We believe that each packet's size in kilobytes, independently, has a Normal(1, 0.01) distribution.

1. A tasty byte

a) Consider the total size of the next ten packets in kilobytes. Find its distribution, expected value and variance, and the probability it is less than 9.5 kilobytes.

b) Consider the largest and the smallest of the next ten packets. Find their distributions and, for each, the probability it is less than 1.01 kilobytes.

c) Consider how many of the next ten packets are less than 1.02 kilobytes. Find its distribution, expected value and variance.

d) Consider how many of the next thousand packets are less than 1.02 kilobytes. Find its expected value and variance, and approximate its distribution and the probability that at least 575 of those packets are less than 1.02 kilobytes.

e) Consider the next three packets to arrive. Find the probability that the first is at least 0.1 kilobytes larger than the average of the other two.


Related Discussions:- Find distribution - expected value and variance

Linear Programming, 1. The production manager of Koulder Refrigerators must...

1. The production manager of Koulder Refrigerators must decide how many refrigerators to produce in each of the next four months to meet demand at the lowest overall cost. There i

Define lagging indicators, Lagging indicators: The part of a collection of...

Lagging indicators: The part of a collection of the economic time series designed to give information about the broad swings in measures of the aggregate economic activity known a

Lagrange multipliertest, The Null Hypothesis - H0:  There is autocorrelatio...

The Null Hypothesis - H0:  There is autocorrelation The Alternative Hypothesis - H1: There is no autocorrelation Rejection Criteria: Reject H0 (n-s)R 2 > = (1515 - 4) x (0.

Mauchly test, Mauchly test is a test which a variance-covariance matrix of...

Mauchly test is a test which a variance-covariance matrix of pair wise differences of responses in the set of longitudinal data is the scalar multiple of identity matrix, a proper

Sequencing problem, when there is tie in sequencing then what we do

when there is tie in sequencing then what we do

Product-limit estimator, Product-limit estimator is a method for estimatin...

Product-limit estimator is a method for estimating the survival functions for the set of survival times, some of which might be censored observations. The logic behind the procedu

Nearest-neighbour methods, Nearest-neighbour methods are the methods of di...

Nearest-neighbour methods are the methods of discriminant analysis are based on studying the training set subjects much similar to the subject to be classified. Classification mig

Minimization, Minimization is the method or technique for allocating patie...

Minimization is the method or technique for allocating patients to the treatments in clinical trials which is usually the acceptable alternative to random allocation. The procedur

Whites general heteroscedasticity test, The Null Hypothesis - H0:  γ 1 = γ...

The Null Hypothesis - H0:  γ 1 = γ 2 = ...  =  0  i.e.  there is no heteroscedasticity in the model The Alternative Hypothesis - H1:  at least one of the γ i 's are not equal

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

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!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd