Answer:
Probability that a person has disease r and it is accurate result =98%
Probability that a person has disease and it is accurate result =(100-98)=2%
Probability that a person doesn't has disease and is accurate result = 97%
Probability that a person doesn't has disease and is Inaccurate result = (100-97)=3%
As, it is given that 3.5% of population has disorder.
Probability that a randomly chosen person tests negative out of 3.5% who are affected =Affected population × Probability that he is found negative that is doesn't have liver disorder
[tex]\frac{3.5}{100}\times \frac{2}{100}=\frac{7}{10000}=0.0007[/tex]
=0.07%
Answer:
0.93675
Step-by-step explanation:
98% accurate for those who have the disease, which means receiving a positive result.
97% accurate for those who don't have the disease, which means receiving a negative result.
3.5% of people have the disease, which means 96.5% of people do not.
98% of 3.5% = 3.43% of people receive true positive results, so 0.07% of people receive false negative results.
97% of 96.5% = 93.605% of people receive true negative results.
0.07% false negative results + 93.605% true negative results = 93.675% negative results in all.
93.675% = 0.93675 probability that a randomly chosen person tests negative.
