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

Definition, what is operational gaining

what is operational gaining

Probability weighting, Probability weighting is the procedure of attaching...

Probability weighting is the procedure of attaching weights equal to inverse of the probability of being selected, to each respondent's record in the sample survey. These weights

Multi dimensional unfolding, Multi dimensional unfolding is the form of mu...

Multi dimensional unfolding is the form of multidimensional scaling applicable to both the rectangular proximity matrices where the rows and columns refer to the different sets of

Parks test, The Null Hypothesis - H0: β 1 = 0 i.e. there is homoscedastici...

The Null Hypothesis - H0: β 1 = 0 i.e. there is homoscedasticity errors and no heteroscedasticity exists The Alternative Hypothesis - H1: β 1 ≠ 0 i.e. there is no homoscedasti

Rates of return, An investor with a stock portfolio sued his broker, claimi...

An investor with a stock portfolio sued his broker, claiming that a lack of diversification in his portfolio had led to poor performance. The data, shown below, are the rates of re

White''s general heteroscedasticity test, The Null Hypothesis - H0:  γ 1 =...

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

Chapter 7&8, Chapter 7 2. Describe the distribution of sample means (shape...

Chapter 7 2. Describe the distribution of sample means (shape, expected value, and standard error) for samples of n =36 selected from a population with a mean of µ = 100 and a sta

Generalized additive models, Models which make use of the smoothing techniq...

Models which make use of the smoothing techniques such as locally weighted regression to identify and represent the possible non-linear relationships between the explanatory and th

Evidence-based medicine (ebm), Described by the leading proponent as 'the c...

Described by the leading proponent as 'the conscientious, explicit, and judicious uses of present best evidence in making the decisions about the care of individual patients, and

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