Answer:
True
Explanation:
By definition of steady flow we have

where f(x,y,z,t) is any property of the system under consideration
=> f(x,y,z,t) = constant
Answer:
a) 
b) 
Explanation:
Previous concepts
The cumulative distribution function (CDF) F(x),"describes the probability that a random variableX with a given probability distribution will be found at a value less than or equal to x".
The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution".
Part a
Let X the random variable of interest. We know on this case that 
And we know the probability denisty function for x given by:

In order to find the cdf we need to do the following integral:

Part b
Assuming that
, then the density function is given by:

And for this case we want this probability:

And evaluating the integral we got:

Its 0.001
0.01 x100 = 1mm
0.001x100=0.1mm
0.1=10mm
1m
I think because if you’ve already turned it in they might as well grade asap instead of waiting