added lab 0 link

README.md

@@ -14,6 +14,23 @@ point penalty per day.
 
 ## Repository for laboratory notebooks
 
-### Experiment #0
+### Lab #0 - Introduction to the Student t-test
+
+[Lab 0 interactive notebook in ipynb jupyter
+notebook](https://mybinder.org/v2/git/https%3A%2F%2Fgithub.uconn.edu%2Frcc02007%2FME3263_Lab-0.git/f25072f2e708c231ea05040cab6aae2699a7be6f)
+
+We use statistics to draw conclusions from limited data. No measurement is
+exact. Every measurement you make has two types of uncertainties, *systematic*
+and *random*. *Systematic* uncertainties come from faults in your assumptions or
+equipment. 
+*Random* uncertainties are associated with unpredictable (or unforeseen at the
+time) experimental conditions. These can also be due to simplifications of your
+model. Here are some examples for caliper measurements:
+
+In theory, all uncertainies could be accounted for by factoring in all physics
+in your readings. In reality, there is a diminishing return on investment
+for this practice. So we use some statistical insights to draw conclusions. 
+
+
+
 
-**Coming Tue (8/28)**