| Tag | Value |
|---|---|
| file | Inferential_Statistics_uva-bayesian-statistics-979-en_uva-bayesian-statistics-979-en |
| name | uva-bayesian-statistics-979-en |
| section | Inferential Statistics/Bayesian Statistics |
| type | schoice |
| solution | FALSE, FALSE, TRUE, FALSE |
| Type | Conceptual |
| Language | English |
| Level | Statistical Literacy |
| IRT-Difficulty | 2.001 |
| p-value | 0.5823 |
In the population, 2 in 100 people suffer from the disease F. Researchers are designing a test that can detect the disease. But this test is not 100% foolproof. The probability of a negative result when the disease is absent is 0.9 and a positive result when present is 0.7. Suppose the events:Ê
* A: someone who has disease F,‖
* B: the test with a positive result. Then what is the probability that the person being tested has the disease F, given that there is a positive result?