경제통계분석

강의상세

경제자료의 분석처리 등 제반 연구에 필요한 기본적인 확률이론 및 통계이론을 연구하며 경제자료의 실증통계분석을 실행한다. 통계이론에서는 모수의 추정과 가설검정을 연구하며, 실증통계분석에서는 통계패키지를 사용하여 자료의 수집과 측정, 사례연구와 통계분석을 실행한다.

1.	Descriptive Statistics	Quantitative vs Qualitative Variable, Ratio Scale, Interval Scale, Nominal vs. Ordinal Scale
2.	Histogram, Ogive and Scattergram	Frequency Distribution, Bar Chart, Pie Chart, Histogram, Frequency Polygon, Scattegram
3.	Pivot Table and Other Presentation Techniques	Time-series plot, Pivot table function, Contingency table
4.	Numerical Descriptive Measures - Central Location and Spread	Mean, Median, Mode, Variance, Standard Deviation
5.	Numerical Descriptive Measures - Shape of Distribution	Coefficient of Variation, Shapes of Distribution, IQR, Box Plot
6.	Basic Concepts in Probability	Probability assignment approaches, Mutually exclusive events, Collectively exhaustive events,
7.	Conditional Probability and Bayes' Theorem	Joint probability, Conditional probablity, Bayes' Theorem
8.	Introduction to Normal Distribution	Normal distribution, Transformation of normal to Z-distribution, Probability Density Function
9.	Normal and Other Continuous Distributions	Test of normality, Uniform distribution, Poisson distribution
10.	Confidence Interval Estimation	Confidence Level, Interval Estimation, Student's t-distribution, Confidence Interval for Population Proportion, Required Sample Size
11.	Hypothesis Testing (One-sample)	Null and Alternative Hypotheses, Test Statistic, Rejection Region, Critical Value, Type I and Type II Error, P-value
12.	Hypothesis Testing (Two-sample)	Pooled Variance Test, Separate Variance Test, F-test for Equality of Variance, Paired-difference Test