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I did drop out. Learning is important. College is not the only way to learn. I acquire the knowledge necessary to accomplish my goals. I wouldn't hire; work
by ukj 7y ago
I did drop out.
Learning is important.
College is not the only way to learn.
I acquire the knowledge necessary to accomplish my goals.
I wouldn't hire; work with; or work for somebody who doesn't know how to manage the risk of Type I/II errors in their heuristic.
That signals to me "lazy thinker".
- dgellow 7y agoFor folks who don't know what Type 1 and 2 errors mean: > In statistical hypothesis testing a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion). Much of statistical theory revolves around the minimization of one or both of these errors, though the complete elimination of either is treated as a statistical impossibility. https://en.wikipedia.org/wiki/Type_I_and_type_II_errors https://en.wikipedia.org/wiki/Type_I_and_type_II_errors
- shard 7y agoCould you elaborate? How can type I and type II error risks be managed?
- ukj 7y agoThe theory is ROC curves [1]. The practice requires that you play devil's advocate with yourself - figuring out ways to disconfirm your own beliefs. I usually start with the question: 'What data would convince me that I am wrong?' If I can't answer that for myself - I know I have a problem. [1] https://en.wikipedia.org/wiki/Receiver_operating_characteristic https://en.wikipedia.org/wiki/Receiver_operating_characteris...