added ipynb link

README.md

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 # Lab 0 - Statistics and the Student t-test
 
+[Lab 0 notebook](./ME3263_lab-00.ipynb)
+
 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. 
+for this practice. So we use some statistical insights to draw conclusions.