1) (2,-2)
3) (-1,5)
5) (1,-3)
2) (2,2)
6) (-3,-3)
Answer:
The probability that an individual has the disease and has a positive test result is:
9.8%.
Step-by-step explanation:
Probability of a true positive result for a test of syphilis = 0.98 or 98%
Probability of a false negative result for a test of syphilis = 0.02 or 2% (100 - 98)
Probability of a true negative result for a test of syphilis = 0.9 or 90%
Probability of a false negative result for a test of syphilis = 0.1 or 10% (100 - 90)
Therefore, the probability that an individual has the disease and has a positive test result = 0.98 * 0.1 = 0.098 = 9.8%
Answer:
The answer is 235
Step-by-step explanation:
it's just basic long divistion.
Add 12 to both sides of the equal sign, then simplify.
