Transcript Document 7544480

AS/SC/GEOG 2420 3.0 (Fall):
Introductory Statistical Analysis
in Geography
module 01
Welcome
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Mondays & Wednesdays
• 1:30-2:20 PM •
Stedman Lecture Hall E
Teaching Team
• Course Director
– Lewis Code
• S 404 D Ross Building
• 416-736-5107 x22482
• [email protected]
• Mondays & Wednesdays 2:30-3:20
Teaching Team
• Teaching Assistants
• TBA
Other Contact
• Listservs
• [email protected]
• [email protected]
• [email protected]
– be careful how you use it
Course Description
• working knowledge of several
standard statistical techniques
– measures of central tendency and
dispersion (descriptive statistics)
– comparisons of means and proportions
(inferential statistics)
– correlation and regression analyses
(analyzing relationships and causation)
Course Description
• consideration will be given to the
nature of geographical data
– examples used in lectures and
assignments will be geographical in
content
Course Description
• working emphasis will be placed on
the concepts underlying each
procedure
– mechanics of the numerical calculations
Course Description
• ‘knowing why’ is just as important as
‘knowing how’ in statistics
Course Description
• computers will be used
– no prior knowledge of computers or
specific computer programs will be
assumed
Lab Sessions
• N 302 Ross Building
– Group 1 Tuesdays12:30-2:20
– Group 2 Tuesdays2:30-4:20
– Group 3 Fridays
9:30-11:20
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Evaluation
• 6 lab assignments (55 percent)
– 1 worth 5 percent
– 5 worth 10 percent each
• 3 in-class quizzes (45 percent)
– worth 15 percent each
Schedule
• see handout
Textbook
• McGrew, J. Chapman, Jr. and Charles B.
Monroe (2000).
An Introduction to Statistical Problem Solving
in Geography, 2nd edition. Toronto:
McGraw-Hill.
Reading
• read Chapters 1 & 2
Topics
• basic concepts
• descriptive problem solving
• inferential problem solving
– elementary tests
– 2-sample & matched-pairs tests
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correlation
regression
goodness of fit
spatial statistics
practical problem solving
st
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Lab Sessions
• week of September 12-16
Remember …