Course Overview
The course covers numerical and graphical methods of descriptive statistics, basic probability theory, the notion of discrete and continuous random variables and their probability distributions (focussing on the binomial, geometric, hypergeometric, Poisson, uniform, exponential, normal and Erlang-k distributions), the connection between probability and statistical inference (population and sample), sampling and sampling distributions, computation of confidence interval estimates and testing of hypotheses (involving means, differences of means, proportions, difference of proportions, variances), an introduction to simple and multiple linear regression, an introduction to experimental design and analysis of variance, and an introduction to basic principles of quality control.
Prerequisite(s)
- No prerequisites are required for this course.
Credits
3.0
Registration requirements
Departmental approval is required to register for this course. Departmental approval is required for this course. You will not be able to register without it.
Domestic fees
$756.02
International fees are typically 3.25 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Learning Outcomes
By the end of the course, the student is expected to be able to:
- Explain the relationship between statistical populations and random samples, listing reasons why a sampling approach is usually necessary in determining characteristics of populations.
- Calculate common numerical characteristics of data sets (measures of central tendency, of variability, and of relative standing).
- Relate the relative frequency concept of probability to the basic properties of a probability.
- Apply the notion of conditional probability to situations in which the notion of independence of events is relevant.
- Describe the notion of a both a discrete and continuous random variable and its probability and cumulative probability distributions, mean value, standard deviation.
- Justify the use of the binomial, Poisson, geometric, hypergeometric, uniform, exponential, Wiebull, Erlang-k, or normal distributions probability distributions to solve probability problems involving these distributions.
- Support the major implications of the Central Limit Theorem using sound statistical reasoning.
- Outline the major issues of statistical estimation (point estimates, interval estimates, characteristics of estimators).
- Support the standard hypothesis test procedure using logical reasoning and correct terminology.
- Describe the basic features of a completely randomized single factor statistical experiment, and the principle behind the ANOVA method, and demonstrate how to carry out the F-Test and basic approaches to multiple comparisons.
- Evaluate the advantage of randomized block designs over completely randomized experimental designs.
- Perform the computations involved in carrying out the basic ANOVA for a randomized block design.
- Interpret results of multiple linear regression calculations.
- Justify statistical process control conclusions using fundamental statistical reasoning.
Effective as of Fall 2003
Related Programs
Engineering Statistics (ELEX 7010) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
School of Energy
- Electronics
Bachelor of Technology Part-time
Course Offerings
Spring/Summer 2026
Below is one offering of ELEX 7010 for the Spring/Summer 2026 term.
CRN 62400
Dates
May 06 - Aug 26 Loading
- CRN 62400
- $756.02 Domestic fees
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| May 06 - Aug 26 | Wed | 18:30 - 21:30 | Burnaby SW01 Rm. 2020 |
Duration
17 weeks
Instructor
Erik Korolenko
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Important information
- Registrants must have departmental approval. Please contact soepts@bcit.ca with the course CRN and your BCIT ID for approval, more information, or to be placed on a waitlist if the course is full. No class on Wednesday, July 1st (Canada Day). Note: BCIT reserves the right to cancel courses. In the event of a course cancellation, you will be notified at least two business days prior to the course start. Please ensure that your contact information is current in your myBCIT account.
Confirmation
Required
To proceed with registration and add this course to the cart, please confirm:
No approval yet? Request approval Departmental approval is required for this course. You will not be able to register without it.
Status
If you have any questions about this course, please contact us.
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.