On average, 2.8 babies are born each day at a local hospital. Assuming the Poisson distribution, what is the probability that no
babies are born today?
1 answer:
Answer:
The probability is
Step-by-step explanation:
From the question we are told that
The mean is 
Generally the Poisson distribution constant
is mathematically represented as

=> 
=> 
Generally the probability distribution for Poisson distribution is mathematically represented as
Here t = 1 day
Generally the probability that no babies are born today is mathematically represented as
=>
You might be interested in
Answer:
0 and above
Step-by-step explanation:
it can go onto infinity put 0 or Amy positive number and you got it
Answer: Solving for P
P= 3.1
40 (1+2y) is an equivalent expression
Answer:
The shape is a reduction, and the scale factor is actually 2/3.
Step-by-step explanation: