Introduction to Statistical Method in Economics >> Content Detail

Lecture Notes

Lecture Notes

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1Set and Probability Theory (PDF)

Basics of Set Theory
2Random Variables, Probability Mass/Density Function, and Cumulative Distribution Function (Univariate Model) (PDF)
3Multiple Random Variables, Bivariate Distribution, Marginal Distribution, Conditional Distribution, Independence, Multivariate Distribution (Multivariate Model) (PDF)
4Expectation (Moments) (PDF)
5Review for Exam 1
6Random Variable and Random Vector Transformations (Univariate and Multivariate Models) (PDF)
7Special Distributions (Discrete and Continuous) (PDF)

Graph Representation: Special Distributions (PDF)
8Review for Exam 2
9Random Sample, Law of Large Numbers, Central Limit Theorem (PDF)

Simulations: Magnifying Glass (PDF)#
10Point Estimators and Point Estimation Methods (PDF)

An Overview (PDF)
11Interval Estimation and Confidence Intervals (PDF)

t-Student versus Standard Normal: A Graphical View (PDF)

The t-Distribution versus the Normal Distribution (Java Applet)
12Hypothesis Testing (PDF)

An Applied Review (PDF)
13Review for Exam 3


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