Course Overview
This is an introductory level course in statistics. Topics include descriptive statistics (including measures of central tendency and variation, and appropriate graphical displays of data); probability distributions; inferences from one or two samples (hypothesis testing and confidence intervals); linear correlation and regression. Additional topics may include chi-squared tests for independence and homogeneity. These methods will be applied to examples from the natural resource field.
Prerequisite(s)
Credits
4.0
- Not offered this term
- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Differentiate between observational studies and experiments.
- Categorize variables based on the type of data they represent.
- Use statistical processes to summarize, analyze, and interpret statistical data from the natural environment.
- Compute and understand measures of central tendency, variation, and position; identify outliers in a sample.
- Prepare and interpret an appropriate graph to display sample data.
- Apply discrete and continuous probability distributions, including the binomial and normal distributions; analyze sampling distributions using the central limit theorem.
- Estimate population parameters using confidence intervals for the mean and proportion.
- Formulate and test hypotheses for the mean, proportion, difference in two means, and difference in proportions.
- Conduct linear regression, and test for a significant relationship between two numerical variables.
Effective as of Fall 2025
Related Programs
Statistics for Natural Resources (MATH 2453) is offered as a part of the following programs:
- Indicates programs accepting international students.
School of Construction and the Environment
- Fish, Wildlife and Recreation
Diploma Full-time
- Forest and Natural Areas Management
Diploma Full-time
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.