arc/notes
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

vault backup: 2024-01-29 14:38:59

Browse Source
This commit is contained in:
zleyyij 2024-01-29 14:38:59 -07:00
parent ff47c2eeaa
commit c799485815
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
education/statistics/Sampling.md
View File

@ -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 $SE_{ave}$. 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 $SE_{ave}$.
$$ sample_{ave} \pm 2 * SE_{ave} $$ $$ sample_{ave} \pm 2 * SE_{ave} $$
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: This equation should be a review:
$$ SE_{ave} = \frac{SD}{\sqrt{size\space samp}} $$ $$ SE_{ave} = \frac{SD}{\sqrt{size\space samp}} $$
The above equation will give you an interval that you can be 95% confident that the true random will be within that point. 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]." "We can be 95% confident that the interval \[we have constructed] contains the true average \[thing being measured]."
## Margin of Error ## Margin of Error
The margin of error is $sample_{ave} \pm z* SE_{ave}$. As we increase the confide The margin of error is $sample_{ave} \pm z* SE_{ave}$.