- International Fees
International fees are typically 3.12 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Course details
This course covers statistical data treatment and decision making with an emphasis in medical imaging. Topics include modeling with probability distributions (binomial, normal), statistical inference (estimation and hypothesis testing, p-values), regression and correlation. Applications include descriptive presentations and experimental design.
Prerequisite(s)
- Acceptance into BCIT Bachelor of Health or Pre-Calculus 12 (73%) or equivalent, or BCIT Math 0001 or Math 0120.
Credits
3.0
Domestic fees
$724.76
Course offerings
Fall 2024
Below is one offering of MATH 7042 for the Fall 2024 term.
CRN 43178
Duration
Mon Sep 09 - Wed Dec 04 (13 weeks)
- 13 weeks
- CRN 43178
- Domestic fees $724.76International fees are typically 3.12 times the domestic tuition.
Class meeting times
Dates | Days | Times | Locations |
---|---|---|---|
Sep 09 - Dec 04 | N/A | N/A | Online |
Instructor
Winona Cordua-von Specht
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Domestic fees
$724.76
Important information
- Internet delivery format.
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
- International fees are typically 3.12 times the domestic tuition. Exact cost will be calculated upon completion of registration.
-
(1) The purchase of a textbook is required for this course. (2) This is not a self-paced coursed. There are set dates for assignments and exams. Midterm: Wednesday, October 23rd Final: Wednesday, December 4th
Status
Sneak Preview
This section is only available for registration starting Wed May 22, 2024 at 9:00 am (PDT)
Learning Outcomes
Upon successful completion of the course, the student will be able to:
- Evaluate different types of clinical studies in the context of medical research.
- Discuss different research methodologies used in evidence based practice.
- Analyse statistical data and summarize using standard measures such as mean, median and standard deviation.
- Present data in a graphical form, such as a histogram or boxplot, to provide a summary of large data sets.
- Determine the risk of a false test result using basic probability theory and Bayes' theorem.
- Interpret the results of a hypothesis test as it pertains to clinical studies.
- Explain the meaning of the p-value in the context of a clinical study.
- Evaluate the dependence between patient characteristics and medical conditions using contingency tables and Chi-square analysis.
- Apply linear regression and correlation analysis to bivariate data to test for dependence between variables.
- Explain the meaning and importance of the underlying assumptions behind the statistical procedures commonly used in the health sciences.
- Evaluate articles in clinical journals for statistical significance of the result and appropriateness of the statistical analysis being used.
Effective as of Fall 2016
Related Programs
Statistics and Research Methods for Allied Health (MATH 7042) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs with a co-op option.
School of Health Sciences
- Bachelor of Health Science (Magnetic Resonance Imaging Option)
Bachelor of Health Science Part-time
Contact Us
If you have a question or comment about this course, please complete and submit the form below.
Subscribe
Interested in being notified about future offerings of Statistics and Research Methods for Allied Health (MATH 7042)? If so, fill out the information below and we'll notify you by email when courses for each new term are displayed here.
Programs and courses are subject to change without notice.