Answer:

And using the cdf we got:

Step-by-step explanation:
Previous concepts
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". The probability density function is given by:

And 0 for other case. Let X the random variable that represent the random variable of interest and we know that the distribution is given by:

We know the variance on this case given by :

So then the deviation is given by:

And if we solve for
we got:

The cumulative distribution function for the exponential distribution is given by:

Solution to the problem
And for this case we want to find this probability:

And using the cdf we got:

Answer:
C
Step-by-step explanation:
1. 1,5 divided by 2 is 0,75 so on the right side its 0,75
2. We make x/8 = 0,75 | *8
so we get: x = 0,75 * 8
which is the same as x = 6
so the answer is x = 6
Answer:
y=mx+b
Step-by-step explanation:
2-(-x+5)
2+x-5
x-3
I decided to included the steps just in case you needed them