FAQ: Rules of Probability - Review

This community-built FAQ covers the “Review” exercise from the lesson “Rules of Probability”.

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This exercise can be found in the following Codecademy content:

Master Statistics with Python

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Currently, I am stuck on an assignment in part 8 of Rules of Probability regarding Bayes Theorem. The assignment asks to find the answer to P ( ST | - ). The part I am stuck at is the part to find the probability of a negative test result. I just don’t understand how to get to the result of 0.814. The formula given is P( - ) + P( + ) = 1 then p( - ) = 1 - P( + ) = 0.814 can someone walk me through this? How do I know the value of ( - ) and ( + ) in this example?
Thanks in advance!

You just have to add the negative probabilities which was P(ST and -) and P(NOST and -) which turns out to be 0.03 and 0.814 respectively. If you add both of these the result is 0.814.
Thank you