Statistical Data Analysis (X_401029)

A summary of the first half of the SDA lectures and syllabus, covering all the important topics for the first exam.

Everything you need to know for DSA chapters 6, 7 and 8!

This summary contains all theory covered in the lectures and 2020 syllabus in the SDA course for Business Analytics, Math and Econometrics students at the Vrije Universiteit Amsterdam. It helped me to pass this exam with a 8.5, so I hope it will be as much helpful for you as it was for me! The chapters included are: 2 (summarising data), 3 (exploring distributions), 4 (density estimation), 5 (bootstrap), 6 (nonparametric methods), 7 (analysis of categorical data) and 8 (linear regression).

Summary for the first period of Statistical Data Analysis. Containing chapter 2,3,4 and 5.1 from the syllabus.

Detailed summary about: - datatypes - plots - tests to check the distribution of the data - bootstrapping - robust estimators - one-sample problems - two-sample problems

Detailed summery about: - Analysis of categorical data - Multiple linear regression model - Diagnostics - Collinearity

Detailed summery about: - Asymptotic efficiency - two sample tests - tests for correlation