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

This commit is contained in:
zleyyij 2024-02-05 14:19:23 -07:00
parent 7db969d892
commit 41b48cd310
2 changed files with 4 additions and 1 deletions

View File

@ -2,7 +2,7 @@
"commitMessage": "vault backup: {{date}}", "commitMessage": "vault backup: {{date}}",
"autoCommitMessage": "vault backup: {{date}}", "autoCommitMessage": "vault backup: {{date}}",
"commitDateFormat": "YYYY-MM-DD HH:mm:ss", "commitDateFormat": "YYYY-MM-DD HH:mm:ss",
"autoSaveInterval": 1, "autoSaveInterval": 5,
"autoPushInterval": 0, "autoPushInterval": 0,
"autoPullInterval": 5, "autoPullInterval": 5,
"autoPullOnBoot": false, "autoPullOnBoot": false,

View File

@ -30,6 +30,9 @@ With a small sample size, the standard deviation will be relatively higher, so t
$$ SD_+ = \sqrt{\frac{size\space sample}{sample\space size}}*SD$$ $$ SD_+ = \sqrt{\frac{size\space sample}{sample\space size}}*SD$$
This found value is then used in all further calculations where you would normally use the $SD$ in a z score test. This found value is then used in all further calculations where you would normally use the $SD$ in a z score test.
$$ t = \frac{obs_{ave} - EV_{ave}}{SE_{ave}} $$ $$ t = \frac{obs_{ave} - EV_{ave}}{SE_{ave}} $$
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 ## P Value
The chance of observing at least a sample statistic, or something more extreme, if the null hypothesis is true. 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. If the p-value is less than *5*%, reject the null hypothesis.