From 39b460fc44dab95fab29c6a7a600ce3d03f05e00 Mon Sep 17 00:00:00 2001 From: "Ryan C. Cooper" Date: Tue, 28 Aug 2018 11:23:33 -0400 Subject: [PATCH] added lab 0 link --- README.md | 21 +++++++++++++++++++-- 1 file changed, 19 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 212853b..428b335 100644 --- a/README.md +++ b/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)**