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:
Answer:
6.907
Step-by-step explanation:
Answer:
He jogs 4 9/10 kilometers in 6 1/8 minutes
Step-by-step explanation:
If you multiple 4/5 time 6 1/8 you'll get 4.9, which in fraction form is 4 9/10.
Answer:
Step-by-step explanation:
W/6ft=14in/10ft
w=6*14/10 inches=
Add 8/15. The answer is d