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Signal detection theory – part 2 | Processing the Environment | MCAT | Khan Academy



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Created by Ronald Sahyouni.

Watch the next lesson: https://www.khanacademy.org/test-prep/mcat/processing-the-environment/sensory-perception/v/bottom-up-versus-top-down-processing?utm_source=YT&utm_medium=Desc&utm_campaign=mcat

Missed the previous lesson? https://www.khanacademy.org/test-prep/mcat/processing-the-environment/sensory-perception/v/signal-detection-theory-part-1?utm_source=YT&utm_medium=Desc&utm_campaign=mcat

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21 thoughts on “Signal detection theory – part 2 | Processing the Environment | MCAT | Khan Academy
  1. he was just laying out the broad idea here… I thought it was very clear. Very abstract though so people might be dealing with the fact that it's simplified to the point where its completely disconnected from anything they can imagine? I just took the trafic light example and stuck with it. I dunno I thought it was excellent

  2. He seemingly chooses B arbitrarily then uses it in the equation for D, so the meaning behind the equation for D is lost.
    Also based on his explanation an ideal observer is a liberal observer since 0<1. Very confusing.

  3. Made complete sense to me. It goes much more in depth into signal detection theory than the Kaplan MCAT series so I don't know how much stock I should put into this video but still, it fills in some gaps left by Kaplan's overly broad review.

  4. This is a terrible video and not applicable to how signal detection theory would be tested on the MCAT. As someone who was a psych major and took multiple statistics classes, I've never heard it explained this way and i'm actually more confused now.

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