From 8d78c55573b7305acfd40f67f5fcbafab9f64693 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Wed, 7 Feb 2024 20:04:10 -0700 Subject: [PATCH] vault backup: 2024-02-07 20:04:09 --- .obsidian/plugins/obsidian-git/data.json | 2 +- education/statistics/Hypothesis Tests.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.obsidian/plugins/obsidian-git/data.json b/.obsidian/plugins/obsidian-git/data.json index 4bc189e..7b1247f 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": 5, + "autoSaveInterval": 1, "autoPushInterval": 0, "autoPullInterval": 5, "autoPullOnBoot": false, diff --git a/education/statistics/Hypothesis Tests.md b/education/statistics/Hypothesis Tests.md index 3e3e22f..d1c683d 100644 --- a/education/statistics/Hypothesis Tests.md +++ b/education/statistics/Hypothesis Tests.md @@ -11,7 +11,7 @@ If an observed value is too many SEs away from the expected value, it is hard to - Null: *x* is *y*. This is often given in the problem - Alternative: If you're being asked to determine if something has changed, you're determining whether or not *x* is equal to. If you're being asked to find the more than, or less than, it's a one sided test. 2. Then find the SE. This is usually found with: $\frac{SD}{\sqrt{num_{draws}}}$. -3. The EV (Expected Value) is usually given as the population %. Then with the above info, you can find the $z$ score with the formula $z = \frac{observed_\% - expected_\%}{SE_\%}$. +3. The EV (Expected Value) is usually given as the population %. Then with the above info, you can find the $z$ score with the formula $z = \frac{expected_\% - observed_\%}{SE_\%}$. 4. You can use this $z$ score combined with something like $normalcdf$ to find the amount that is outside of the expected range. If that total amount is less than 5%, than the null hypothesis should be rejected. If that total amount is more than 5%, the difference is too small, and it should not be rejected. Then you can provide a conclusion based off of either the null hypothesis, or the alternative hypothesis.