From c79948581529ca7f0f0096dd6cf7170bcbaa4260 Mon Sep 17 00:00:00 2001 From: zleyyij Date: Mon, 29 Jan 2024 14:38:59 -0700 Subject: [PATCH] vault backup: 2024-01-29 14:38:59 --- education/statistics/Sampling.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/education/statistics/Sampling.md b/education/statistics/Sampling.md index 540c598..365811d 100644 --- a/education/statistics/Sampling.md +++ b/education/statistics/Sampling.md @@ -73,7 +73,7 @@ Remember that the *parameter* is the *number* that actually describes the popula For any unknown average, the probability histogram of the sample averages will be shaped like the normal curve and centered at the true average with a standard deviation equal to $SE_{ave}$. $$ sample_{ave} \pm 2 * SE_{ave} $$ -If solving for a specific interval, substitute $2$ for your $z$ value. +If solving for a specific interval, substitute $2$ for your $z$ value. As $z$ increases or the sample size decrease, this interval gets wider. This equation should be a review: $$ SE_{ave} = \frac{SD}{\sqrt{size\space samp}} $$ The above equation will give you an interval that you can be 95% confident that the true random will be within that point. @@ -86,4 +86,4 @@ If we're using two standard deviations, the below statement can be used: "We can be 95% confident that the interval \[we have constructed] contains the true average \[thing being measured]." ## Margin of Error -The margin of error is $sample_{ave} \pm z* SE_{ave}$. As we increase the confide \ No newline at end of file +The margin of error is $sample_{ave} \pm z* SE_{ave}$. \ No newline at end of file