Download FRST 231 Outline for 2017

FORESTRY 231 January 2017
INTRODUCTION TO BIOMETRICS
Course Outline
Instructor:
Dr. Younes Alila, P.Eng.
(604) 822-6058
Room 2030 – 2424 Main Mall (Forest resources Management Department),
Forest Sciences Centre (FSC), 2424 Main Mall
[email protected]
Office Hours:
Fridays, 11:00 AM to 1:00 pm OR by appointment
Teaching Assistants: To Be Announced in Lab Sections
Course Website:
http://frst231-201.forestry.ubc.ca
Meeting Times:
Class:
Tuesday-Thursday, 11:00 am - 12:30 pm, FSC 1221
Labs:
L04: Tuesday,
2:00 pm – 4:00 pm, CAWP 2916
L06: Wednesday, 2:00 pm - 4:00 pm, FSC 1611
L05: Thursday, 2:00 pm - 4:00 pm, FSC 1613
NO labs first week of school Jan 3th to Jan 6th. Labs start week of Jan 9th, 2017
Course Objectives:
FORESTRY 231 provides an introduction to biometrics and business statistics methods that are commonly
used in the forestry, conservation and wood products sectors. Practical real-world examples will be used
throughout the course and students will be encouraged to find workable solutions to related problems
using the resources and techniques provided in this course (both independently and in groups).
Learning Outcomes:
The student will practice and learn:
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 how to use data to facilitate decision-making in forestry, conservation and wood products
processing; 
 how to organize, graph and interpret data; 
 how to use probability and counting techniques to determine the likelihood of events occurring; 
 how to test for differences by developing hypotheses and constructing confidence intervals from
normal and other distributions; 
 how to perform simple analysis of variance techniques, regression techniques and other useful
statistical tests; and 
 when it is appropriate to apply each of the above techniques. 
Grading Policy:
Labs:
Midterm Exam:
Final Exam:
30%
20%
50%
You can’t pass the course unless you pass the final exam as well.
Required Textbook:
Bluman A.G. & Mayer J.G. 2014. Elementary Statistics - A Step by Step Approach. Second Canadian
Edition. McGraw-Hill, Canada. 762 pp. (ISBN: 9780071091244).
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The textbook has been ordered for the course and is available for purchase in the bookstore and for
borrowing at the UBC library. Additionally, a few sections and exercises will be taken from (not required
for students to purchase):
Kozak A., Kozak R.A, Staudhammer C.L & Watts S.B. 2008. Introductory Probability and Statistics:
Applications for Forestry and the Natural Sciences. CAB Inter-national, Wallingford, United Kingdom. 408
pp. ISBN 978-1-84593-275-6 (hard-cover) / ISBN 978-1-78064-051-8 (softcover).
Labs:
Laboratory assignments (approximately 10) are designed to exercise the skills learned in class. Packages
containing each of the labs will be handed out in the beginning of term and questions will be assigned on
a week-to-week basis (if you misplace the lab package, you can download another one on the course
website). A weekly assignment will be explained at the beginning of each lab period and will be collected
for grading at the beginning of the next week lab session.
Although students are encouraged to work in groups, all assignments will be handed in and graded
individually. Lab attendance is mandatory. If you do not attend a lab, you will not be given a grade
for that lab without a valid excuse. Late assignments must be date stamped by the Dean’s office and
10% will be deducted per day. You can’t pass the course unless you hand in all assignments for
grading.
Class Topics:
SECTION 1 - INTRODUCTION: (approximately 2 weeks)
Introduction
Descriptive Statistics, Inference, Data
Organizing Data, Histograms
Data Description, Central Tendency, Variation
SECTION 2 - PROBABILITY: (approximately 4 weeks)
Definition of Probability, Calculating Probabilities
Laws of Probability, Addition Rules, Multiplication Rules
Conditional Probability, Bayes’ Theorem
Counting Techniques, Tree Diagrams, Permutations, Combinations
Random Variables, Probability Distributions, Expectation
Discrete Distributions
SECTION 3 - STATISTICAL INFERENCE: (approximately 4 weeks)
Normal Distributions, Sampling Distributions, Other Distributions
Central Limit Theorem
Confidence Intervals for Means, Proportions, Differences
Sample Size Determination
Hypothesis Testing for Means, Proportions, Differences and Variances
SECTION 4 – ANALYSIS OF VARIANCE, CORRELATION, REGRESSION: (approximately 2 weeks)
One-Way Analysis of Variance
Correlation and Regression Analysis
SECTION 5* – OTHER USEFUL STATISTICAL TESTS: (approximately 1 week)
Test of Independence
Goodness of Fit Test
*Time permitting only
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