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:

You add the exponent. You never multiply it.
Hope this helps!
<em>Say, mind doing me a favor and clicking the brainliest button for me? It would help me tons.</em>
<em />
<h2><em>
~~~PicklePoppers~~~</em></h2>
Do you mean (2/3) times 3X or is x a multiplication symbol
Answer:
This can be expanded to x⁴ - 6x²
Step-by-step explanation:

Neither Alex nor Jo are correct, because surface area is a 2-dimensional quantity, so it would be given in just square units, not linear nor cubic.
So the answer is D