• K300 Syllabus | Student Code of Conduct | ( PDF) | SPEA Policy (2007)
• Class Survey (data dictionary) | Stata Data set | SAS Data set | SPSS Data set
• Announcement (Message Board) | OnCourse CL

• Univariate Analysis and Normality Test
• Understanding the Statistical Power of a Test
• Comparing Group Means: The T-test and One-way ANOVA
• Linear Regression Models for Panel Data

1. Statistics Introduction | Descriptive Statistics (Graphical Methods)
2. Central Tendency (Numerical Methods) | Measures of Dispersion/Variability
3. Probability | Probability Distribution | Normal Distribution
4. Hypothesis and Statistical Inference: Lecture note 1 | Lecture note 2
5. Comparing means and proportions (T-test)
6. Comparing means (ANOVA: Analysis of Variance)
7. Categorical Data Analysis (Chi-square test) (Lecture note 3)
8. Linear Relationship between Two Interval Variables (Correlation)
9. Linear Regression Model (Ordinary Least Squares)
10. Ordinary Least Squares with Dummies

• Lab 1: Descriptive Statistics (Excel file)
• Probability Distribution Table
• Sample of Assignment 5
• Paired T-test SPSS data set Manipulated from Walker (2002)
• Analysis of Variance (Excel file)
• Correlation Coefficient (Excel file)
• Least Squares Method (Excel file)
• Reading the linear regression output (pdf)
• Screen Shots for running linear regression (Word)

• How Do I Input Data? (Korean)
• Statistical Applets : Statistical Applets
• IU Stat/Math Center | UCLS Stat Computing | UCLS Stat Computing Portal
• Factor Analysis (Note) | Annotated Factor Analysis Bibliography | David Garson's PA765
• Introduction to Algebra | Basic Algebra
• Software Use (UCLA): SAS | Stata | SPSS
• Stata Introduction | Data Manipulaiton in Stata
• SPSS Tutotrials (Texas A&M) | SPSS Tutotrials (Indiana University)

• Frank M. Andrews, et al. Selecting Statistical Techniques for Social Science Data
• Statistical Analyses by the Level of Measurement
• Wolfram Math World (Wolfram)
• Introduction to Statistical Methods (Arizona State)
• Level of Measurement (D. Garson)
• Pitfalls of Data Analysis (Clay Helberg)
• The Problems with Statistics (Richard F. Taflinger)
• Elementary Concepts in Statistics (statsoft.com)
• Preliminary Concepts (Wisconsin Stevens Point)
• Research Design (Wisconsin Stevens Point)

• Univariate Analysis and Normality Test Using SAS, STATA, and SPSS
• Descriptive Statistics (wolfram.com)
• Statistical Plots (wolfram.com)
• Graphical Analytic Techniques (statsoft.com)
• Tabulating and Graphing Data (Arizona State)
• Display of Statistical Data
• Display of Statistical Distribution
• Graphing Techniques (Wisconsin Stevens Point)

• Describing Central Tendency, Variability and Skew (Arizona State)
• Descriptive Statistics
• Frequency Distribution (Wisconsin Stevens Point)
• Central Tendency (Wisconsin Stevens Point)

• Probability (D. Garson)
• Probability (Wisconsin Stevens Point)

• Statistical Distributions (wolfram.com)
• Normal Distribution & Standard Scores (Arizona State)
• Distribution Tables (statsoft.com)
• Sampling (D. Garson)

• Understanding the Statistical Power of a Test | HTML
• Statistical Tests (wolfram.com)
• Power Analysis (statsoft.com)

• Comparing Group Means: The T-test and One-way ANOVA HTML | Data | Data Set
• Basic Statistics (statsoft.com)
• One-sample T-test (Wisconsin Stevens Point)
• Two-sample T-test (Wisconsin Stevens Point)

• Anova (D. Garson)
• Anova (statsoft.com)
• ANOVA (Missouri State)
• One-way ANOVA (Wisconsin Stevens Point)
• Two-way ANOVA (Wisconsin Stevens Point)
• ANOVA (wolfram.com)

• Proportions & Contingencies (Arizona State)
• Nonparametric Statistics (wolfram.com)
• Nonparametric Statistics (Wisconsin Stevens Point)
• Chi-squared test (Arizona State)
• Kolmogorov-Smirnov Test
• Chi-squared tests
• Measures of Association (D. Garson)

• Correlation & Regression (Arizona State)
• Ordinary Least Squares
• Correlation (D. Garson)
• Correlation (Wisconsin Stevens Point)

ORDINARY LEAST SQUARES (OLS)

• Regression (wolfram.com)
• Ordinary Least Squares (OLS)
• Multiple Regression (statsoft.com)
• Interpretation of the SAS REG output (Freund and Littell 2000)
• Using Dummy Variable in Linear Regression IT Firm 2004 | IT_firm04.do

SOFTWARE PACKAGES

• SAS | Stata | LIMDEP | M-Plus | R Project | HLM | Minitab | SPSS | Maple | MatLab
• Structural Equation Model Memo | M-Plus | AMOS | LISREL | HLM Tutorial
• Multiple Imputation | EQS and SAS CALIS

Indiana University  |  Korea University  |  PA Department  |  IGS Korea  |  ASPA  |  KAPA  |  KAPS
http://www.masil.org/method/statistics.html. Last modified on 11/07/2008
Copyright 1999-2008, Jeeshim and KUCC625