[MINI] type i / type ii errors

In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives).

Episode metadata supplied by the publisher feed · Published May 30, 2014

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How long is this episode of Data Skeptic?

This episode is 11 minutes long.

When was this Data Skeptic episode published?

This episode was published on May 30, 2014.

What is this episode about?

In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives).

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