Chilee i DONT know I’m just trying to get these points
Sure. The function is a parabola. Because the coefficient of the x^2 term is positive, it opens upward. that means that it vertex is a minimum point.
You can verify that the vertex is (0,24). That means that at the point x=0, the height of the bridge is 24m. So if the level water rises below 24 m, the bridge is safe to use.
Answer:
tex]M=\beta ln(2)[/tex]
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).
Solution to the problem
For this case we can use the following Theorem:
"If X is a continuos random variable of the exponential distribution with parameter
for some
"
Then the median of X is 
Proof
Let M the median for the random variable X.
From the definition for the exponential distribution we know the denisty function of X is given by:

Since we need the median we can put this equation:

If we evaluate the integral we got this:
![\frac{1}{\beta} \int_0^M e^{- \frac{x}{\beta}}dx =\frac{1}{\beta} [-\beta e^{-\frac{x}{\beta}}] \Big|_0^M](https://tex.z-dn.net/?f=%5Cfrac%7B1%7D%7B%5Cbeta%7D%20%5Cint_0%5EM%20e%5E%7B-%20%5Cfrac%7Bx%7D%7B%5Cbeta%7D%7Ddx%20%3D%5Cfrac%7B1%7D%7B%5Cbeta%7D%20%5B-%5Cbeta%20e%5E%7B-%5Cfrac%7Bx%7D%7B%5Cbeta%7D%7D%5D%20%5CBig%7C_0%5EM)
And that's equal to:

And if we solve for M we got:


If we apply natural log on both sides we got:

And then 
Answer:
hmmmmmmmmm 3rd?
hope it helps
Step-by-step explanation: