From d822198345ad9414e6022ebbe4b0818ab6a91da8 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Fri, 2 Feb 2024 13:13:50 -0700 Subject: [PATCH] vault backup: 2024-02-02 13:13:50 --- education/statistics/Hypothesis Tests.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/education/statistics/Hypothesis Tests.md b/education/statistics/Hypothesis Tests.md index 409b4ec..9524e6c 100644 --- a/education/statistics/Hypothesis Tests.md +++ b/education/statistics/Hypothesis Tests.md @@ -10,7 +10,8 @@ If an observed value is too many SEs away from the expected value, it is hard to Start by finding a null and alternative hypothesis, eg: - 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 +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 be rejected. +Then you can provide a conclusion based off of either the null hypothesis, or the alternative hypothesis. | Term | Description | | ---- | ---- |