Answer:

And that would be the solution for this case.
Step-by-step explanation:
Previous concepts
The Poisson process is useful when we want to analyze the probability of ocurrence of an event in a time specified. The probability distribution for a random variable X following the Poisson distribution is given by:
Solution to the problem
Let X the random variable that represent the number of life insurance policies that the salesman person sells. We know that
And we want to find this probability:

And we can use the probability mass function and we got:

And that would be the solution for this case.
Answer:
y=-15, y=-2, x=10,x=-5
Step-by-step explanation:
Answer:
the first one is 2
second one is -3
the third one is “ greater than “
ANSWER: 7
EXPLANATION/EQUATION:
40 <span>÷ 6 = 6.666...
</span><span>≈ 7
</span>
After you divide, you are left with 6.666... When rounding to the nearest whole number, the number needs to be rounded based on the tenth; in this case, the tenth is represented by a 6. 6 is closer to 10 than 1, so you round up. Therefore, the answer is 7.
Answer:
16x^4 y^2
Step-by-step explanation: