From de280e5da15b3b78e64871af277f6362c15cada3 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Mon, 5 Feb 2024 14:29:23 -0700 Subject: [PATCH] vault backup: 2024-02-05 14:29:23 --- .obsidian/plugins/obsidian-git/data.json | 2 +- education/statistics/Hypothesis Tests.md | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/.obsidian/plugins/obsidian-git/data.json b/.obsidian/plugins/obsidian-git/data.json index 7b1247f..4bc189e 100644 --- a/.obsidian/plugins/obsidian-git/data.json +++ b/.obsidian/plugins/obsidian-git/data.json @@ -2,7 +2,7 @@ "commitMessage": "vault backup: {{date}}", "autoCommitMessage": "vault backup: {{date}}", "commitDateFormat": "YYYY-MM-DD HH:mm:ss", - "autoSaveInterval": 1, + "autoSaveInterval": 5, "autoPushInterval": 0, "autoPullInterval": 5, "autoPullOnBoot": false, diff --git a/education/statistics/Hypothesis Tests.md b/education/statistics/Hypothesis Tests.md index d9a3580..5ffbda9 100644 --- a/education/statistics/Hypothesis Tests.md +++ b/education/statistics/Hypothesis Tests.md @@ -33,6 +33,8 @@ $$ t = \frac{obs_{ave} - EV_{ave}}{SE_{ave}} $$ The student curve is then used instead of the normal curve. It is similar, but has more area under the tails. Degrees of freedom ($df$) can be found by subtracting 1 from the sample size. The lower the degree of freedom, the greater the difference between the student curve and the normal curve. + +The equivalent of $normalcdf$ for a t test is $tcdf$. ## P Value The chance of observing at least a sample statistic, or something more extreme, if the null hypothesis is true. If the p-value is less than *5*%, reject the null hypothesis.