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:
2x + 70 = 110
x = 20
Step-by-step explanation:
180-110 = 70
70 + 20 + y = 180
y =90
Answer:
7x
Step-by-step explanation:
It equals 28 just like the problem with parentheses, 7x .
The other number could be 6. The GCF of 6 and 24 is 6, and 6 is less than 30.
Answer: 105
Step-by-step explanation:
105 * .2 = 21 :)