Answer:
Step-by-step explanation:
Answer:
If we use the probability mass function we got:
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 students arrive at the office hour. We know that
The probability mass function for the random variable is given by:
And f(x)=0 for other case.
For this distribution the expected value is the same parameter
And we want this probability:
If we use the probability mass function we got:
72+28+66+81=297
360-297=63
She would need to score 63 on her last exam.
Answer:
35$
Step-by-step explanation:
You multiply $2 x 10 = 20$ then add 15$ + 20$ = 35$
Answer: 8.17 x 10^8
Step-by-step explanation: 9.1 x 10^8 - 9.3 x 10^7= 817,000,000
And that’s how I got 8.17 x 10^8