4/12 in simplest form would be 1/3 because 4 goes into 4, one time and 4 goes into 12, 3 times.
Answer:
0.087
Step-by-step explanation:
Given that there were 17 customers at 11:07, probability of having 20 customers in the restaurant at 11:12 am could be computed as:
= Probability of having 3 customers in that 5 minute period. For every minute period, the number of customers coming can be modeled as:
X₅ ~ Poisson (20 (5/60))
X₅ ~ Poisson (1.6667)
Formula for computing probabilities for Poisson is as follows:
P (X=ₓ) = ((<em>e</em>^(-λ)) λˣ)/ₓ!
P(X₅= 3) = ((<em>e</em>^(-λ)) λˣ)/ₓ! = (e^-1.6667)((1.6667²)/3!)
P(X₅= 3) = (2.718^(-1.6667))((2.78)/6)
P(X₅= 3) = (2.718^(-1.6667))0.46
P(X₅= 3) = 0.1889×0.46
P(X₅= 3) = 0.086894
P(X₅= 3) = 0.087
Therefore, the probability of having 20 customers in the restaurant at 11:12 am given that there were 17 customers at 11:07 am is 0.087.
1st term: 20 dollars
2nd term:40 dollars
3rd term: 60 dollars
4th term:80 dollars
5th term:100 dollars
6th term:120 dollars
I hope this is correct.
$12.80 × 1.075 = $13.76
$13.76 × 1.15 =$15.82
Answer:
the range represents the number of users each month for 24 months
Step-by-step explanation:
this is because the graph shows a 24 month period.
