Broken script, statistical rescue needed! Evaluate probability of false negative (conditional probability)












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this is a rather tricky question for me - any help is much appreciated! There's a script that tells me whether my product is good or not good. My script runs 80% of the time and fails the rest of the time.



Of the times the script runs, 2.5% of the times it detects that the product is bad but we have data to show that the product is good 1% of the times. The rest of the times the script functions as intended. What is the probability that given that the product is good, the script will detect that it is bad? Explanation of your thought process would be extremely beneficial for me. Thank you [:










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    this is a rather tricky question for me - any help is much appreciated! There's a script that tells me whether my product is good or not good. My script runs 80% of the time and fails the rest of the time.



    Of the times the script runs, 2.5% of the times it detects that the product is bad but we have data to show that the product is good 1% of the times. The rest of the times the script functions as intended. What is the probability that given that the product is good, the script will detect that it is bad? Explanation of your thought process would be extremely beneficial for me. Thank you [:










    share|cite|improve this question

























      0












      0








      0







      this is a rather tricky question for me - any help is much appreciated! There's a script that tells me whether my product is good or not good. My script runs 80% of the time and fails the rest of the time.



      Of the times the script runs, 2.5% of the times it detects that the product is bad but we have data to show that the product is good 1% of the times. The rest of the times the script functions as intended. What is the probability that given that the product is good, the script will detect that it is bad? Explanation of your thought process would be extremely beneficial for me. Thank you [:










      share|cite|improve this question













      this is a rather tricky question for me - any help is much appreciated! There's a script that tells me whether my product is good or not good. My script runs 80% of the time and fails the rest of the time.



      Of the times the script runs, 2.5% of the times it detects that the product is bad but we have data to show that the product is good 1% of the times. The rest of the times the script functions as intended. What is the probability that given that the product is good, the script will detect that it is bad? Explanation of your thought process would be extremely beneficial for me. Thank you [:







      probability conditional-probability






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      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Nov 30 '18 at 1:38









      user3068783user3068783

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