From b7312a98d6177b547dfbde28b76aced351282154 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Fri, 2 Feb 2024 12:48:50 -0700 Subject: [PATCH] vault backup: 2024-02-02 12:48:50 --- education/statistics/Hypothesis Tests.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/education/statistics/Hypothesis Tests.md b/education/statistics/Hypothesis Tests.md index 5298159..6c8f59d 100644 --- a/education/statistics/Hypothesis Tests.md +++ b/education/statistics/Hypothesis Tests.md @@ -14,8 +14,7 @@ If an observed value is too many SEs away from the expected value, it is hard to | One-tailed test | Use when the alternative hypothesis says that the % of 1s is *less than* or *greater than* expected. It's one sided, because the area of importance on a distribution only has one side, and extends all the way outwards, away from the normal curve. | | Two tailed test | Use when something is *not equal* to the expected. It's called a two tailed test because the area of significance has two sides | ## z tests for averages -This test will look very similar to a z test for percentages - You +This test will look very similar to a z test for percentages, it still requires that a large, random, sample was given. ## 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.