Learning Objectives:
1. Understand basic concepts and methods of data collection and description
2. Understand basic concepts of mathematical probability theory
3. Understand the logic and practice of simple inferential statistics
4. Understand correlation and regression analysis
5. Ability to use appropriate statistical techniques in tackling geographical 
   problems.
6. Ability to comprehend academic literature that uses statistical techniques.


This course meets the following General Education Abilities by accomplishing the
specific learning objectives listed below:

Communicate effectively through writing.  This is met by a series of writing 
assignments associated with supplemental reading and data analysis.
 
Computer Literacy is addressed through course administration, student-faculty 
electronic interaction, data analysis activities and assignments, and exposure to 
GIS technologies.
 
Critical Thinking is central to the learning objectives of this class, and is 
developed through homework assignments, lecture, classroom discussion, and inquiry-
based learning efforts.

Moral Reasoning (Ethics) is addressed by consideration of ethical guidelines for 
use of statistical data and for interpretation and application of spatial 
statistical outcomes.  Moral reasoning is developed through lectures, writing 
assignments, classroom discussion, and inquiry-based learning activities.

Geographical Data and Measurement
  Geography, Data, and Statistics (Chapter 1 & 2)

Descriptive Statistics
  Non-Spatial Descriptive Statistics (Chapter 3)
  Spatial Descriptive Statistics (Chapter 4)

Statistical Relationships Between Variables
  Correlation (Chapter 13)
  Regression (Ch 14, pp. 210-220)

Building Blocks of Inferential Statistics
  Probability Theory & Distributions (Chapter 5)
  Sampling (Chapter 6)
  Estimation (Chapter 7)

Statistical Inference
  Basic Parametric Hypothesis Testing (Chapter 8)
  Multiple Sample Parametric Tests (Chapter 9)
  ANOVA (Chapter 10)
  Goodness-of-Fit, Categorical Tests