vault backup: 2026-01-12 11:18:59

statistical-significance.md

@@ -16,7 +16,7 @@ title: Statistical Significance
 > a result has statistical significance
 > when a result at least as "extreme"
 > would be very infrequent if the null hypothesis were true.
-> 
+>
 > More precisely,
 > a study's defined **significance level**, denoted by $\alpha$,
 > is the probability of the study rejecting the null hypothesis,
@@ -26,21 +26,21 @@ title: Statistical Significance
 > given that the null hypothesis is true.
 > The result is said to be statistically significant,
 > by the standards of the study, when $p \leq \alpha$
-> 
+>
 > The significance level for a study
 > is chosen before data collection,
 > and is typically set to 5% or much lower---
 > depending on the field of study.
-> 
+>
 > The [**null hypothesis**](https://en.wikipedia.org/wiki/Null_hypothesis)
 > (often denoted $H_{0}$)
 > is the claim that the effect being studied does not exist,
 > or that no relationship exists
 > between two sets of data or variables being analyzed.
-> 
+>
 > If the null hypothesis is true,
 > any experimentally observed effect is due to chance alone.
-> 
+>
 > In research,
 > the researcher develops an [**alternative hypothesis**](https://en.wikipedia.org/wiki/Alternative_hypothesis)
 > (often denoted $H_{A}$ or $H_{1}$)