8.66, you divide 12.99 into 3 and then multiply the result which is 4.33 by 2
Answer:
16m + 2n + 4
Step-by-step explanation:
( −2n −2) + (6 + 8m) + (8m + 4n)
−2n + −2 + 6 + 8m + 8m + 4n
(8m + 8m) + ( −2n + 4n) + (−2 + 6)
16m + 2n + 4
Answer:
-1, 2 and 4
Step-by-step explanation:
Answer:
a) P(x=3)=0.089
b) P(x≥3)=0.938
c) 1.5 arrivals
Step-by-step explanation:
Let t be the time (in hours), then random variable X is the number of people arriving for treatment at an emergency room.
The variable X is modeled by a Poisson process with a rate parameter of λ=6.
The probability of exactly k arrivals in a particular hour can be written as:
a) The probability that exactly 3 arrivals occur during a particular hour is:
b) The probability that <em>at least</em> 3 people arrive during a particular hour is:
c) In this case, t=0.25, so we recalculate the parameter as:
The expected value for a Poisson distribution is equal to its parameter λ, so in this case we expect 1.5 arrivals in a period of 15 minutes.