FRST 231 (3 cr): Introduction to Biometrics

FRST 231

Mode of Delivery

This is a print-based, correspondence course.

Course Outline

  • Five assignments
  • Final exam

Course Description

Forestry 231 Introductory Biometrics for Forestry – Basic theories of probability and statistics. Sampling distribution, methods of estimation and hypothesis testing; goodness of fit and tests for independence; analysis of variance, regression and correlation.

Co-requisite: Mathematics 100 ‘Calculus I’

Intended Student

This course in introductory biometrics for foresters is designed for:

  • students who, prior to entering the Faculty of Forestry at UBC, want to complete some of the courses required for any of the degrees offered by the Faculty, this course and others may be completed through Distance Education or taken at colleges;
  • individuals enrolled with the ABCFP who need a course in biometrics to complete their academic background requirements;
  • current UBC students who, for one reason or another, are not able to take the regularly scheduled version of this course;
  • individuals who wish to increase or upgrade their understanding of biometrics.

Course Objectives

When you have completed this course you will:

  1. have gained a good understanding of the basic ideas and principles in biometrics;
  2. be able to apply the basic methods of statistical data analysis;
  3. increase your understanding of research literature by being able to interpret research results that involve statistical data analysis.

Course Content

Course content is divided into the following ten lessons:

  • Lesson 1 – Statistical Measures and Descriptions of Data
  • Lesson 2 – Probability
  • Lesson 3 – Distributions of Random Variables
  • Lesson 4 – Discrete and Continuous Distributions
  • Lesson 5 – Sampling Distributions
  • Lesson 6 – Estimation of Parameters
  • Lesson 7 – Hypothesis Testing on Means and Proportions
  • Lesson 8 – Tests Concerning Variance, Goodness-of-Fit, and Independence
  • Lesson 9 – Analysis of Variance
  • Lesson 10 – Simple Linear Regression


The grade for the course work will be broken down into the following percentages:

Five Assignments    40%
Final Examination    60%

In order to pass the course, students must:

  • complete and submit all assignments before writing the final examination;
  • obtain a passing mark (>50%) on the examination;
  • obtain an overall passing mark in the course.

Textbook and Course Materials

Walpole, Ronald E. 1982. Introduction to Statistics. 3rd ed. Macmillan Publishing. [A custom printing of this text is available from the UBC Bookstore.]

FRST 231 Learner Package (which includes the course manual)

FRST231 Textbook Order Form

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