In this module we will introduce at a high level the basic concepts of statistical analysis. We will present different types of exploratory analysis through descriptive statistics, while we will pinpoint on potential problems that can arise from them. In particular, we will discuss the notion of robust statistics by utilizing the example of mean versus median. We will also introduce the concept of statistical testing through specific security-based case-studies. Another possible problem with a novice data analyst is the possible confusion between precision and significance. It is very common numbers with high precision to be treated as more “accurate” and significant as compared to numbers/results with less precision.
Dr. Konstantinos Pelechrinis is an Associate Professor in the School of Computing and Information in University of Pittsburgh and he leads the Network Data Science Lab.
Quiz 01 (Online Version)
Quiz 01 (Download Version)
Quiz 01 Solution
Homework 01
Homework 01 Solution
Quiz 02 (Download Version)
Quiz 02 Solution
Homework 02
Homework 02 Solution
Lab Instruction
(Draft Version provided by Jinlai Xu, if you have any question, please contact jinlai.xu@pitt.edu)
Lab 01 Material
(Draft Version provided by Jinlai Xu, if you have any question, please contact jinlai.xu@pitt.edu)
Lab 02 Material