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vault backup: 2024-02-05 14:29:23

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zleyyij 2024-02-05 14:29:23 -07:00
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commit de280e5da1
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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,

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education/statistics/Hypothesis Tests.md
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@ -33,6 +33,8 @@ $$ t = \frac{obs_{ave} - EV_{ave}}{SE_{ave}} $$
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.
The equivalent of $normalcdf$ for a t test is $tcdf$.
## 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.