| Tag | Value |
|---|---|
| file | Inferential_Statistics_uva-bayesian-statistics-967-en_uva-bayesian-statistics-967-en |
| name | uva-bayesian-statistics-967-en |
| section | Inferential Statistics/Bayesian Statistics |
| type | schoice |
| solution | FALSE, TRUE, FALSE, FALSE |
| Type | Conceptual |
| Language | English |
| Level | Statistical Literacy |
| IRT-Difficulty | 2.522 |
| p-value | 0.4667 |
Last week Marja went to her family doctor for a medical examination. This morning her family doctor told her that the result was positive with respect to regarding the disease D. In 95% of the cases this test is accurate. In other words if someone has disease D it is detected in 95% of the cases it is detected with a positive result. And if someone does not disease, the result is also negative in 95% of cases. One out of 1000 women with the same age as Marja has this disease. disease. What then is the probability that Marja has the disease D, given that the test result is positive?