Answer:
The probability that in a randomly selected office hour in the 10:30 am time slot exactly two students will arrive is 0.2241.
Step-by-step explanation:
Let <em>X</em> = number of students arriving at the 10:30 AM time slot.
The average number of students arriving at the 10:30 AM time slot is, <em>λ</em> = 3.
A random variable representing the occurrence of events in a fixed interval of time is known as Poisson random variables. For example, the number of customers visiting the bank in an hour or the number of typographical error is a book every 10 pages.
The random variable <em>X</em> is also a Poisson random variable because it represents the fixed number of students arriving at the 10:30 AM time slot.
The random variable <em>X</em> follows a Poisson distribution with parameter <em>λ</em> = 3.
The probability mass function of <em>X</em> is given by:

Compute the probability of <em>X</em> = 2 as follows:

Thus, the probability that in a randomly selected office hour in the 10:30 am time slot exactly two students will arrive is 0.2241.
D - -x^2 + 3x + 7
To find this, first write out the equation:
(3x + 1) - (x^2 - 6)
Distribute the negative into x^2 and -6 so you're equation now looks like this:
3 x + 1 - x^2 + 6
Combine like terms and arrange the equation into ax^2 + bx + c to get the final answer of:
-x^2 + 3x + 7
Hope this helps!
Answer:
High negative
Step-by-step explanation:
The dots are close together and they are going down left to right indicating it’s negative
Erin took two test. First test saying that she has 70% risk of heart attack(which means 30% chance of not have). The second test saying she has 67% chance of not have a heart attack.
Then, the probability of Erin will not have attack would be: 30%*67%= 20.1% = 0.201