Classnotes
Some general classnotes for statistics 1.0.1. and exercices
The material below was used in the Statistical Literacy class taught to interdisciplinary master students at the Graduate Institute of Geneva. This material assumes zero knowledge of statistics and starts with a knowledge of the 4 basic operations (+,-,*,/).
| Content | Lecture | Problem Set |
|---|---|---|
| Introduction | Lecture 1 | PS1 |
| Organize data and compute centrality indicators | Lecture 2 | PS2 |
| Dispersion indicators, distribution shape, Boxplots | Lecture 3 | PS3 |
| Probability and discrete random variables | Lecture 4 | PS4 |
| Continuous random variables and the Normal distribution | Lecture 5 | PS5 |
| All roads lead to the Normal distribution - The sampling distribution | Lecture 6 | PS6 |
| A first step in inference - the confidence intervals for proportions | Lecture 7 | PS7 |
| Confidence intervals for means | Lecture 8 | PS8 |
| A second step in inference - Hypothesis testing for means | Lecture 9 | PS9 |
| Correlation & Linear Univariate Regression | Lecture 10 | PS10 |
| Linear Multivariate Regression (and some special cases), OLS assumptions | Lecture 11 | PS11 |
Some technical classnotes
These short classnotes aim to bring some further understanding regarding key concepts in statistics that are not fully covered in class. These notes assumes more advanced mathematical tools than the classnotes and target curious minds.
| Content | Level | Download the PDF |
|---|---|---|
| Number of subsets in a set | Stat 101 | Subsets in a Set |
| Sample standard deviation | Stat 101 | Sample Standard Deviation |
| Standard error (sampling distribution) | Stat 101 | SE and Sampling Distribution |