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.

Answer:
im gonna say 23 or 24 not 100% sure
Step-by-step explanation:
Answer:
6 hours and 45 minutes
Step-by-step explanation:
First, convert 12 hours into minutes.
12*60=720
Convert 5 hours to minutes and add 15
5*60=300+15=315
Subtract 720 from 315.
720-315=405
Convert into hours and minutes.
405/60=6.75
0.75 of an hour is 45 minutes so the answer is 6 hours and 45 minutes.