One in a thousand people have a particular disease, and the test for the disease is 98% correct in testing for the disease. On t
he other hand, the test has a 1% error rate, if the person being tested, does not have the disease. If someone tests positive, what are the odds they have the disease
The odds a person has the disease they were tested for is 98% or 98:2.
<h3>What is the difference between probability and odds?</h3>
Probability describes how likely is an event to happen by using a percentage from 0 to 100%. On the other hand, the odds focus on the rate between the specific outcome: other outcomes.
<h3>What are the odds in this situation:</h3>
In this case, the specific outcome is to have the disease after being tested, which occurs 98% of the time. This implies only the 2% tested do not have the disease. Now, this relationship can be expressed as:
