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vault backup: 2024-02-05 14:19:23

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zleyyij 2024-02-05 14:19:23 -07:00
parent 7db969d892
commit 41b48cd310
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2
.obsidian/plugins/obsidian-git/data.json vendored
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@ -2,7 +2,7 @@
"commitMessage": "vault backup: {{date}}",
"autoCommitMessage": "vault backup: {{date}}",
"commitDateFormat": "YYYY-MM-DD HH:mm:ss",
"autoSaveInterval": 1,
"autoSaveInterval": 5,
"autoPushInterval": 0,
"autoPullInterval": 5,
"autoPullOnBoot": false,

3
education/statistics/Hypothesis Tests.md
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@ -30,6 +30,9 @@ With a small sample size, the standard deviation will be relatively higher, so t
$$ SD_+ = \sqrt{\frac{size\space sample}{sample\space size}}*SD$$
This found value is then used in all further calculations where you would normally use the $SD$ in a z score test.
$$ t = \frac{obs_{ave} - EV_{ave}}{SE_{ave}} $$
The student curve is then used instead of the normal curve. It is similar, but has more area under the tails.
Degrees of freedom ($df$) can be found by subtracting 1 from the sample size. The lower the degree of freedom, the greater the difference between the student curve and the normal curve.
## 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.