I’m working with a Boolean parameter that has been proposed to identify good data and I want to test if it is effective on a data set where we know what is good (accurate) and bad (inaccurate results).(adsbygoogle = window.adsbygoogle || []).push({});

The theory (sensu amplo!) behind the Boolean parameter, called “SC”, is that a value of “1” should indicate accurate data and a value of “0” should indicate inaccurate data. I have a data set of 13,174 results, where we independently know that 5400 are accurate and 7774 are inaccurate.

Of the accurate results, 4016 (~74%) have an SC value of 1. Of the inaccurate results, 4373 (~56%) have an SC value of 1. What I would like to do is apply a statistical test to assess the significance of the difference between these two proportions and determine if, at some significance level, SC is effective at identifying accurate results.

Any thoughts and advice would be most welcome

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# Effectiveness of a Boolean test

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