Answer:
The probability that the town has 30 or fewer residents with the illness = 0.00052.
Step-by-step explanation:
So, we have the following set of data or information or parameters given from the question above and they are; the number of people living in that particular society/community/town = 74,000 residents and the proportion of people that the diseases affected = .000215.
The first step to do is to determine the expected number of people with disease. Thus, the expected number of people with disease = 74,000 × .000215 = 15.91.
Hence, the probability that the town has 30 or fewer residents with the illness = 1.23 × 10^-7 × 15.91^30/ 2.65253 × 10^-32 = 0.00052.
Note the formula used in the calculating the probability that the town has 30 or fewer residents with the illness = e^-λ × λ^x/ x!
− 14x/
3 i think this would be the answer
Answer:
<u>$211.50</u>
Step-by-step explanation:
Initially:
21 hours per week at 8.25 per hours means:
21 * 8.25 = 173.25 dollars per person
16 person = 16 * 173.25 = $2772 (total)
2nd phase:
2 more cashier = 16 + 2 = 18 cashiers
Per hour 0.25 more, so 8.25 + 0.25 = $8.50 per hour
1.5 hrs less than 21, so 21 - 1.5 = 19.5 hours
Hence,
18 * 19.5 * 8.50 = $2983.50 (new total)
Change in money paid = 2983.50 - 2772 = $211.50
Slope:-
Equation in point slope form
Option A
