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Syllabus The following topics will be covered in the course, as time permits. INTRODUCTION The Use of Statistics Misuse of Statistics MEASUREMENT AND SAMPLING Primary and Secondary Data Variables The Rudiments of Measurement Measurement Scales Collecting Sample Data GRAPHING AND MAPPING DATA Graphic Presentation of Data The Frequency Distribution Mapping Numerical Data PROBABILITY AND PROBABILITY DISTRIBUTIONS Sets Probability of an Event Combinations and Permutations GEOGRAPHIC PRIMITIVES Distance, density, direction Mapping PROBABILITY DISTRIBUTIONS Uniform Expected value Binomial Poisson Normal DESCRIPTIVE STATISTICS Measures of Central Tendency Measures of Dispersion Distribution Statistics for Spatial Distributions INFERENTIAL STATISTICS AND HYPOTHESES INVOLVING MEANS Basic Concepts for Inferential Statistics Computing Test Statistics t and z tests difference of proportions test NONPARAMETRIC STATISTICS Chi-square test goodness of fit tests Mann Whitney test Kruskal Wallis test The Number-of-Runs Test for Randomness The Kolmogorov-Smirnov One-Sample Goodness-of-Fit Test The Kolmogorov-Smirnov Two-Sample Goodness-of-Fit Test sign test for the median Wilcoxon matched pairs A Nonparametric Method of Correlation correlation coefficient bivariate regression MAP COMPARISON METHODS
Earickson, Robert J. And John M. Harlin, 1994, Geographic Measurement and Quantitative Analysis, Macmillan College Publishing Co, New York. [used copies may be available] Optional Textbook: Salkind, Neil, J., 2000, Statistics for People Who (Think They) Hate Statistics, Sage Publications, Thousand Oaks, CA You will also need to obtain and learn to use a calculator which has some scientific / statistical functions. You may need several sheets of cm / mm graph paper. Evaluation: There will be two midterm examinations (50 minutes each), a final exam, and up to six laboratory assignments. The examinations will consist of short answer questions and problem solving. Lab assignments will be assigned and introduced in the Wednesday lecture of the week preceding the lab, and will be taken up in the following weeks lab. Labs must be stapled securely (we are not responsible for missing pages!), and clearly labeled with your name, student number, and TA name. Labs must be handwritten legibly or typed. You are encouraged to work on labs in groups, however the write-up must be independent. Copied assignments will be given zero marks in the first instance. Assignments handed in late will have marks deducted (10% per day, including weekends), except for documented medical or other extraordinary circumstances. No labs will be accepted or graded once they have been handed back in class. In any case, the instructor must be notified of late assignments prior to the due date. No travel or employment plans should be made during the Final Examination time. In accordance with university policy, missed exams cannot be made up except on written medical grounds and notification prior to exam date. If you have questions about the regulations regarding exams or other requirements visit the social science academic counseling web site. Distribution of marks Laboratory Exercises 50% Midterms 25% each Final exam 25% I will use the best two out of three marks you achieve on the two midterms and the final exam. In addition you are expected to attend the lectures. You can’t learn the material if you aren’t there. Disclaimer from Dean of Social Science Office: Please note: You are responsible for ensuring that
you have successfully completed all course prerequisites, and that you have not
taken an anti-requisite course. Lack of prerequisites may not be used as a basis
for appeal.
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