Answer:
a. P(x = 0 | λ = 1.2) = 0.301
b. P(x ≥ 8 | λ = 1.2) = 0.000
c. P(x > 5 | λ = 1.2) = 0.002
Step-by-step explanation:
If the number of defects per carton is Poisson distributed, with parameter 1.2 pens/carton, we can model the probability of k defects as:

a. What is the probability of selecting a carton and finding no defective pens?
This happens for k=0, so the probability is:

b. What is the probability of finding eight or more defective pens in a carton?
This can be calculated as one minus the probablity of having 7 or less defective pens.



c. Suppose a purchaser of these pens will quit buying from the company if a carton contains more than five defective pens. What is the probability that a carton contains more than five defective pens?
We can calculate this as we did the previous question, but for k=5.

To round money to the nearest cent you would see in the ones place what that number is and if it is at or higher than 5 it would round up to 2.20
Did that help any I hope so:) if not tell me I will have another strategy
Answer: 1:15pm
Step-by-step explanation:
The slope is 3
whatever is in front of the x is the slope
Answer:
5.44 ft
Step-by-step explanation:
(6.8/5)4=5.44