Quantitative Methods

Outline [Indicative only -- Refer to the syllabus for a specific semester for the actual course outline.]

Class 1: Introduction CH 1
Class 2: Geographic Data CH 2
Class 3: Introduction to SPSS

Class 4: Classification & Exploratory Data Analysis
Class 5: Central Tendency CH 3
Class 6: Dispersion

Class 7: Spatial Measures of Central Tendency CH 4
Class 8: Spatial Measures of Dispersion
Class 9: Localization & Gini Coefficients

Class 10: Probability CH 5
Class 11: Poisson, Binomial, and Normal Distributions
Class 12: Z-scores

Class 13: Probability Sampling CH 6
Class 14: Estimation in Sampling: Central Limit Theorem CH 7
Class 15: Estimation in Sampling: Confidence Intervals

Class 16: Sample Size
Class 17: Review
Class 18: Exam #1

Class 19: Hypothesis Testing CH 8
Class 20: One-Sample Z-test & t-test
Class 21: Two-Sample t-test & Mann Whitney U CH 9

Class 22: Matched Pairs tests
Class 23: ANOVA CH 10
Class 24: Kruskal-Wallis

Class 25: Kolmogorov-Smirnov: Goodness of Fit CH 11
Class 26: Chi-Squared: Goodness of Fit
Class 27: Chi-Squared: Contingency Analysis

Class 28: Applications of Chi-Squared
Class 29: Review
Class 30: Exam #2

Class 31: Spatial Analysis: Point Patterns CH 12
Class 32: Spatial Analysis: Areal Patterns
Class 33: Network Analysis I

Class 34: Network Analysis II
Class 35: Pearson Product-Moment Correlation Analysis CH 13
Class 36: Spearman Rank Correlation Analysis

Class 37: Applications of Correlation Analysis
Class 38: Introduction to Regression Analysis CH 14
Class 39: Regression Analysis II

Class 40: Applications of Regression Analysis
Class 41: Review
Class 42: Exam #3