vault backup: 2024-02-05 14:19:23
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.obsidian/plugins/obsidian-git/data.json
vendored
2
.obsidian/plugins/obsidian-git/data.json
vendored
@ -2,7 +2,7 @@
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"commitMessage": "vault backup: {{date}}",
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"commitMessage": "vault backup: {{date}}",
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"autoCommitMessage": "vault backup: {{date}}",
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"autoCommitMessage": "vault backup: {{date}}",
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"commitDateFormat": "YYYY-MM-DD HH:mm:ss",
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"commitDateFormat": "YYYY-MM-DD HH:mm:ss",
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"autoSaveInterval": 1,
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"autoSaveInterval": 5,
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"autoPushInterval": 0,
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"autoPushInterval": 0,
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"autoPullInterval": 5,
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"autoPullInterval": 5,
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"autoPullOnBoot": false,
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"autoPullOnBoot": false,
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@ -30,6 +30,9 @@ With a small sample size, the standard deviation will be relatively higher, so t
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$$ SD_+ = \sqrt{\frac{size\space sample}{sample\space size}}*SD$$
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$$ SD_+ = \sqrt{\frac{size\space sample}{sample\space size}}*SD$$
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This found value is then used in all further calculations where you would normally use the $SD$ in a z score test.
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This found value is then used in all further calculations where you would normally use the $SD$ in a z score test.
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$$ t = \frac{obs_{ave} - EV_{ave}}{SE_{ave}} $$
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$$ t = \frac{obs_{ave} - EV_{ave}}{SE_{ave}} $$
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The student curve is then used instead of the normal curve. It is similar, but has more area under the tails.
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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.
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## P Value
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## P Value
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The chance of observing at least a sample statistic, or something more extreme, if the null hypothesis is true.
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The chance of observing at least a sample statistic, or something more extreme, if the null hypothesis is true.
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If the p-value is less than *5*%, reject the null hypothesis.
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If the p-value is less than *5*%, reject the null hypothesis.
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