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!
Answer:
the amount of products a company sells directly affects the amount of money it has
Answer:
2 miles
Step-by-step explanation:
10.2 (total amount of miles ran) - 2.2(fifth day) = 8m
8=miles ran in total for the first 4 days
8 miles / 4 days = 2 miles per day for the first 4 days
Just assuming - A = 20, B = 120, and C = 40
F = 30, G = 75, and H = 75
