Complete Question
Suppose there was a cancer diagnostic test was 95% accurate both on those that do and 90% on those do not have the disease. If 0.4% of the population have cancer, compute the probability that a particular individual has cancer, given that the test indicates he or she has cancer.
Answer:
The probability is 
Step-by-step explanation:
From the question we are told that
The probability that the test was accurate given that the person has cancer is

The probability that the test was accurate given that the person do not have cancer is

The probability that a person has cancer is

Generally the probability that a person do not have cancer is

=> 
=> 
Generally the probability that a particular individual has cancer, given that the test indicates he or she has cancer is according to Bayes's theorem evaluated as

=> 
=> 
34 x 17 (round the 2 numbers)
30 x 20
600
Also, 34 x 17 = 578, which rounds to 600
The answer is 34 and 17
Answer:
420 km
Step-by-step explanation:
75 times 5 = 375
75/10 = 7.5 times 6 = 45
375 + 45 = 420
So bassically
his commision rate is
x% times 190000=comission
so x% times 190000=11400
divide both sdies by 190000
x%=11400/190000
solve for x percent
11400/190000=114/1900=3/50
x%=3/50
percent means parts out of 100 so x%=x/100
x/100=3/50
3/50=6/100
x/100=6/100
multiply both sdies by 100
x=6
the commision rate is 6%
Answer:
commission rate of Maurice is 12%
Step-by-step explanation:
Maurice earns commission = $6,048
Lexus priced at = $50,400
Maurice's commission rate =
=
=
=12 %
hence the commission rate of Maurice is 12%