From 9fb22e519f304a1a89367030a905e5e1ae47e6af Mon Sep 17 00:00:00 2001 From: zleyyij Date: Fri, 2 Feb 2024 13:08:50 -0700 Subject: [PATCH] vault backup: 2024-02-02 13:08:50 --- education/statistics/Hypothesis Tests.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/education/statistics/Hypothesis Tests.md b/education/statistics/Hypothesis Tests.md index 7ecd576..409b4ec 100644 --- a/education/statistics/Hypothesis Tests.md +++ b/education/statistics/Hypothesis Tests.md @@ -8,8 +8,9 @@ This test can be used if: If an observed value is too many SEs away from the expected value, it is hard to explain by chance. Start by finding a null and alternative hypothesis, eg: -- Null: The chance of *x* taking place 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 not equal to y +- 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. +Then find the SE, take the EV and the observed value, and find the $z$ score. 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 | Term | Description | | ---- | ---- |