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.
- Acceptance into BCIT Bachelor of Health or Pre-Calculus 12 (73%) or equivalent, or BCIT Math 0001 or Math 0120.
Below is one offering of MATH 7042 for the Fall 2022 term.
Mon Sep 12 - Thu Dec 01 (12 weeks)
- 12 weeks
- CRN 43178
Class meeting times
|Sep 12 - Dec 01||N/A||N/A||Online|
Winona Cordua-von Specht
Course outline TBD — see Learning Outcomes in the interim.
- 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.
***This is not a self-paced course. There will be set dates for assignments and exams.*** ***IMPORTANT INFORMATION: Online course with IN-PERSON MIDTERM and FINAL*** MIDTERM: Wednesday, October 26th. FINAL: Thursday, December 1st.
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
Statistics and Research Methods for Allied Health (MATH 7042) is offered as a part of the following programs:
School of Health Sciences
- Bachelor of Health Science (Magnetic Resonance Imaging Option)
Bachelor of Health Science Part-time/Distance & Online Learning
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Programs and courses are subject to change without notice.