
Fall, 2000 Syllabus: Course Outline by Topics 

I. QUANTITATIVE ANALYSIS IN POLITICAL RESEARCH 
Sept.21: Sept.22: 
Inspirational Message: Why You Should Take Statistics 
II. USING COMPUTERS IN QUANTITATIVE ANALYSIS

Sept.26: Sept.27: Sept.28: Sept.29: Oct.2: 
Learning How to Log into hardin Recording Data in MachineReadable Form Optional session on computing facilities 
III. DESCRIBING A SINGLE VARIABLE: UNIVARIATE STATISTICS 
Oct.5: Oct.6: 

IV. MEASURING RELATIONSHIPS BETWEEN TWO CONTINUOUS VARIABLES 
Oct.10: Oct.11: Oct.12: Oct.13: Oct.16: Oct.17: 
The ProductMoment Correlation Interpreting the Correlation Coefficient Optional session: review for 1/3 exam Linear Regression Linear Regression in Research 1/3 EXAMINATION Discussion of examination results 
V. STATISTICAL INFERENCE: ELEMENTARY PROBABILITY & SAMPLING THEORY

Oct.20 Oct.23 Oct.24 

VI. TESTING
HYPOTHESES: 
Oct.27: Oct.30: 
Hypothesis Tests of Sample Statistics OneTailed and TwoTailed Tests Significance Tests for Correlation Coefficients 
VII. TESTING HYPOTHESES: ONE NOMINAL AND ONE INTERVAL VARIABLE 
Nov.2: Nov.3: Nov.6: Nov.7: Nov: 9 
Difference of Means Test: Two Samples The TTest in Political Research OneWay Analysis of Variance OneWay Analysis of Variance in Research 2/3 EXAMINATION Discussion of examination results and research papers 
VIII. MODELING RELATIONSHIPS AMONG MULTIPLE VARIABLES 
Nov.13: Nov.16: Nov.17:^{ } 
Multiple Regression More on Multiple Regression Multiple Regression in Research  Research progress reports due! R^{2} v. Eta^{2}: Multiple Regression v.
Analysis of Variance 
IX. TESTING AND MEASURING RELATIONS BETWEEN DISCRETE VARIABLES

Nov.21: Nov.22:

Contingency Tables and the X^{2} Test of Independence Measures of Association for Nominal and Ordinal Data (Take Your Pick) Controlling for Confounding Variables in Contingency Tables RESEARCH PAPERS DUE (1st Chance) 
X. REVIEW FOR FINAL EXAMINATION

Nov.28:
Dec.4: 
Review  Theory, Measurement, and Univariate Statistics Review  Statistical Inference and Hypothesis
Testing Review  Bivariate Distributions: Strength,
Form, Significance Review  Multivariate Analysis Final Examination 3:00 to 5:00 pm 