Skip to main content

Statistics and Research Methods for Allied Health MATH 7042

Mathematics Course

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

Cost

$683.87

Course offerings

Winter 2023

Below is one offering of MATH 7042 for the Winter 2023 term.

CRN 83302

Duration

Wed Jan 04 - Thu Mar 23 (12 weeks)

  • 12 weeks
  • CRN 83302
  • $683.87
Class meeting times
Dates Days Times Locations
Jan 04 - Mar 23 N/A N/A Online
Instructor

Winona Cordua-von Specht

Course outline

View

Cost

$683.87

Important information
  1. Internet delivery format.
  2. Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
  3. ***This is not a self-paced course. There will be set dates for assignments and exams.*** In-person Midterm: Wednesday, February 15th, 2023; and In-person Final: Thursday, March 23rd, 2023
Status

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:

School of Health Sciences

  1. 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.

  • Privacy Notice: The information you provide will be used to respond to your request for BCIT program information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5G 3H2, email: privacy@bcit.ca.
  • This field is for validation purposes and should be left unchanged.

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.

  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.