Geog 2000: Introduction to Geographic Statistics

http://www.geography.du.edu/sutton/courses/Geog2000IntroGeogStats/Geog%202100introgeogstats.htm

(course web page)

 

Instructor: Paul C. Sutton

psutton@du.edu

Phone: 303 871 2399

http://www.geography.du.edu/sutton/Home.htmlimage003

 

Sylabus

 

Problem Sets

Problem Set #1

Answer Template PS#1

Problem Set #2

Answer Template PS#2

Problem Set #3

Answer Template PS#3

Problem Set #4

Answer Template PS #4

 

Probability Tables

Binomial

Standard Normal

Students ‘t’

Combinations

Poisson

Chi-Square

The ‘F’ Tables

 

Nice Web Links to Cool Demos

http://wise.cgu.edu/sdmmod/sdm_applet.asp

http://www.ruf.rice.edu/~lane/stat_sim/sampling_dist/

 

Papers to Clarify Statistical Concepts

How are quantiles calculated?

 

Supplemental Study Aids (worksheets and web sites)

Simple Linear Regression Worksheet (Answer Key)

Cluster Analysis Worksheet

100 Cool Statistics Web Sites

Measures of Spread

 

 

 

 Phillip Harris’ Flow Chart for The Monty Hall Problems

Click here for pdf

 

Monkeys, M&Ms, and the Monty Hall problem …..

http://www.nytimes.com/2008/04/08/science/08tier.html?th&emc=th

 

 

 Another Course Web Site

 

 

Words to the wise: Read the two books first but do that quickly. Each can be read in an evening. Focus your effort on the problem sets. Start by simply trying to do the problems. Use the books as a reference. Most of the problems in the Problem Sets are very analogous to problems in Gonick’s Cartoon Guide. This is a ‘learn by doing’ class. You will not learn much by reading. 90% of your time should be spent on the problem sets.

 

Personal Comment: I put the cartoon above on this page both because it is one of my favorites and it is a representation of how I felt when I was trying to learn statistics. I was a slow and confused learner. It takes a long time and a lot of repetition to master statistics (unless you are unusually gifted). The only reason I obtained a Master’s Degree in statistics is that I kept taking courses until I felt I understood most of it and –voila – I had a master’s degree. I think you will come out of this class with the ability to think ‘statistically’ which is very valuable. In fact I believe statistics should be the de rigeur course for undergrads rather than calculus. It strikes me as much more useful in everyday life because the most of the phenomena we observe are stochastic (random) rather than deterministic.