matlab

A particular job consists of three tasks. Tasks A and B are to be done simultaneously. Task C can begin only when both tasks A and B are complete. The times required for the tasks are TA, TB, and TC, respectively, and all times are random variables. TA has an exponential distribution with a mean of 10 hours, TB, has a uniform distribution that ranges between 6 and 14 hours, and TC has a normal distribution with a mean of 10 hours and a standard deviation of 3 hours. The time to complete the project, Y, is a random variable that depends on the task times as Y = max{TA, TB} + TC. Once your code is working to simulate your selected environment, you will generate data that you will analyze, identifying such information as continuous or discrete, mean, standard deviation, cumulative distribution function, probability density function, type of distribution, etc. As well as other questions, such as for system 1: what is the probability of producing 7 or more assemblies in one day? Or, for system 2: What is the probability that the promised completion time of 20 hours is met? 

CLIENTS EXAMPLE 1

there will be two routers. to each router packets p1 and p2 will be sent to the client. Here the packet p1 must be represented with the discrete pmf and p2 should be represented with the poisson function and the buffer should be represented with the size of 13 packets. Now the final output p=min{13,p1+p2}

if u understood my example u can do using it or else u can do with any real time example referring to the question

example u can take anything but the concept should be proved

Y = max{TA, TB} + TC.