From 809cca034610ae34eb86095f5ad4f40dc49703ea Mon Sep 17 00:00:00 2001 From: zleyyij Date: Wed, 17 Jan 2024 14:20:19 -0700 Subject: [PATCH] vault backup: 2024-01-17 14:20:19 --- education/statistics/Central Limit Theorem.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/education/statistics/Central Limit Theorem.md b/education/statistics/Central Limit Theorem.md index 0939fc2..c7df80c 100644 --- a/education/statistics/Central Limit Theorem.md +++ b/education/statistics/Central Limit Theorem.md @@ -9,4 +9,4 @@ Probability histograms represent *chance*. Each class interval represents the pr The probability curve for the *sum of draws* will approximately follow the normal curve if the number of draws is large enough, even if the tickets in the box *do not *follow the normal curve. -When applying statistics to sums, it's usually in the form of *how much do we think the sum will add up to*, then compared against how much \ No newline at end of file +When applying statistics to sums, it's usually in the form of *how much do we think the sum will add up to*, then compared against what it actually adds up to. The $EV_{sum}$ is used for for the estimated sum of all events. The $SE_{sum}$ refers to the standard error of the sum, or how much you expect the guess to be off by. This can be thought of like the standard deviation. \ No newline at end of file