Comments (2)
The probability of rejecting the null hypothesis when it is false.
Needs further explanation
from glossary.
Formally, the probability of rejecting the null hypothesis, when the null hypothesis is false. Informally, the likelihood of successfully detecting an effect that is actually there (Baguley, 2004). In its simplest application, there is a relationship between alpha, power, effect size, and sample size. This means we can calculate power if we know alpha, the effect size, and the sample size. This would tell us - in the long run - how many times would I observe a significant effect for a given alpha, effect size, and sample size?
from glossary.
Related Issues (20)
- TRANSLATION:absolute-path HOT 1
- TRANSLATION: adjusted R-squared
- Broken link to R Markdown Cheatsheet
- TRANSLATION: alpha (stats) and alpha (graphics) HOT 2
- EDIT: Data format items should be more specific
- New: NaN and Inf definition? HOT 1
- EDIT: between and within subjects
- New: codebook / data dictionary
- NEW: SD
- Ordinal
- New: Regex
- Needs: effect size HOT 1
- Needs: error term HOT 1
- EDIT: p-value HOT 3
- NEW: atomic HOT 1
- FIX: distribution HOT 1
- EDIT: package
- TRANSLATION:alpha HOT 1
- NEW: dimension HOT 1
- NEW: class HOT 1
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from glossary.