Answer:
The probability of eating pizza given that a new car is bought is 0.952
Step-by-step explanation:
This kind of problem can be solved using Baye’s theorem of conditional probability.
Let A be the event of eating pizza( same as buying pizza)
while B is the event of buying a new car
P(A) = 34% = 0.34
P(B) = 15% = 15/100 = 0.15
P(B|A) = 42% = 0.42
P(B|A) = P(BnA)/P(A)
0.42 = P(BnA)/0.34
P(B n A) = 0.34 * 0.42 = 0.1428
Now, we want to calculate P(A|B)
Mathematically;
P(A|B = P(A n B)/P(B)
Kindly know that P(A n B) = P(B n A) = 0.1428
So P(A|B) = 0.1428/0.15
P(A|B) = 0.952
Answer:
459 sales people.
Step-by-step explanation
Time per call (t) = 45 min = 0.75 h
Hours per sales person (H) = 3,400 hours
Number of customers (n) = 40,000 customers
Call frequency (f)= 52 calls per year
The total number of sales people (S) needed, is given by the total time spent on calls for the year, divided by the amount of hours each person spends on sale:
Rounding up to the next whole person, Pringles needs 459 sales people.
If its volume (Not so sure about surface area?) than its 432 inches^3
5,10,15,20,25,30 that is 1,2,3,4,5,6 6 of 100 is 18