diff --git a/.obsidian/plugins/obsidian-git/data.json b/.obsidian/plugins/obsidian-git/data.json
index 7b1247f..4bc189e 100644
--- a/.obsidian/plugins/obsidian-git/data.json
+++ b/.obsidian/plugins/obsidian-git/data.json
@@ -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,
diff --git a/education/statistics/Hypothesis Tests.md b/education/statistics/Hypothesis Tests.md
index 5820072..d9a3580 100644
--- a/education/statistics/Hypothesis Tests.md	
+++ b/education/statistics/Hypothesis Tests.md	
@@ -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.