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Crash course statistics. Part 3, Playing with power p-values.

We're going to finish up our discussion of p-values by taking a closer look at how they can get it wrong, and what we can do to minimize those errors. We'll discuss Type 1 (when we think we've detected an effect, but there actually isn't one) and Type 2 (when there was an effect...

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Bibliographic Details
Format: Video
Language:English
Language Notes:In English.
Published: [Place of publication not identified] : Crash Course Statistics, 2018.
Series:Academic Video Online
Subjects:
Statistics > Study and teaching.
Research > Statistical methods.
Research > Data processing.
Research > Methodology.
Statistique > Étude et enseignement.
Recherche > Méthodes statistiques.
Recherche > Méthodologie.
Research > Data processing
Research > Methodology
Research > Statistical methods
Statistics > Study and teaching
Educational films
Short films
Educational films.
Short films.
Films éducatifs.
Courts métrages.
Online Access:Connect to this streaming video (Alexander Street Press)
Description
Summary:We're going to finish up our discussion of p-values by taking a closer look at how they can get it wrong, and what we can do to minimize those errors. We'll discuss Type 1 (when we think we've detected an effect, but there actually isn't one) and Type 2 (when there was an effect we didn't see) errors and introduce statistical power - which tells us the chance of detecting an effect if there is one.
Item Description:Title from resource description page (viewed April 13, 2022).
Physical Description:1 online resource (12 minutes)
Playing Time:00:11:33