Lecture 1. Descriptive Statistics
Measures of central tendency: mean, median, and mode
Cao Hao Thi
Readings:
1. MBB2, Chapter 2
Problem Set 1 Distributed
Lecture 2. Descriptive Statistics
Measures of variability and correlation: variance, standard deviation, covariance and correlation
Cao Hao Thi
Readings:
1. MBB2, Chapter 2
The Quantitative Methods course is designed with two objectives. The first is to provide participants with the ability to analyze critically quantitative and empirical analysis done by others and to use that analysis in the design of public policy. The second is to provide students with the skills necessary to perform quantitative policy analysis on their own.
The course includes two main parts:
* Applied statistics
* Econometrics
The applied statistics module will review fundamental concepts of statistics, including descriptive statistics, basic probability, probability distributions, sampling and sample distribution, estimation and hypothesis testing. This module provides the foundation for participants to study econometric analysis.
The second half of the course is devoted to the teaching of fundamental tools of econometrics. The module introduces the standard methods for estimating relationships among observed social and economic variables and for testing hypotheses about their relationships.
