6.5693%
I’m not sure what you need to round this up to but this is the furthest I got with it. :)
Answer:

Step-by-step explanation:
●) -2 (3a - 4b)-6a + 3b
-2 (9a-7b)
●) 10 - 6a - 4y - (-2a) + 9y
10 - 6a - 13y - (-2a)
●) 9 (2x-6) - 3 (5-4x
12 (6x-11)
All I did was combine the numbers with the same variable
Answer:
32.33% probability of having at least 3 erros in an hour.
Step-by-step explanation:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given time interval.
The mean number of errors is 2 per hour.
This means that 
(a) What is the probability of having at least 3 errors in an hour?
Either you have 2 or less errors in an hour, or we have at least 3 errors. The sum of the probabilities of these events is decimal 1. So

We want 
So

In which







32.33% probability of having at least 3 erros in an hour.
Answer: it is d becaues that is the mode