If the entire ray is PQ, then all of those points lie on the ray.
Answer:
is that lil huddy in your pfp lol (melanin king)
Step-by-step explanation:
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.
Answer:
$12.90
Step-by-step explanation:
To solve, multiply the cost before tax with tax, and then add the number gotten to the original amount.
12 x 7.5% = 12 x 0.075 = 0.9
12 + 0.9 = 12.9
$12.90 is your answer.
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Answer:
y= 2-2x
Step-by-step explanation:
Isolate y.
