Answer:
0.1606 = 16.06% probability that the number of births in any given minute is exactly five.
Step-by-step explanation:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:
In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given interval.
In this question:
We only have the mean during an interval, and this is why we use the Poisson distribution.
The mean number of births per minute in a given country in a recent year was about 6.
This means that 
Find the probability that the number of births in any given minute is exactly five.
This is P(X = 5). So
0.1606 = 16.06% probability that the number of births in any given minute is exactly five.
Answer:
Step-by-step explanation:
Answer:
D
Step-by-step explanation:
IF you count the dots for each graph, you would see that the minimum for B is Higher than group A's maximum, Therefore, the numbers do not overlap. This means that at a simple glance you can see which company does better.
Jim- 60× .45= 27
Dora- 10 of the 60
Ada- 60× .25= 15
Kim- 8 remaining
Jim placed the most with 27
Answer:
Step-by-step explanation:
Hello!
a) The population of interest is the registered voters of the city of Raleigh.
b) This population is finite and its size is 10400 voters.
c) The sample was taken by making a telephone poll, calling 400 registered voters.
d) The sample size is n= 400 voters
The number of people that answered they'd vote for Brown are 151, so the sample proportion of voters that would vote for bron is:
p= 151/400= 0.3775 ≅ 0.38
e) To know how many people is expected to vote for Brown based on the results of the telephone poll you can do the following calculation:
10400*0.38= 3952
Based on the information obtained from the sample, it is expected that only 3952 voters will vote for Brown.
