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MATH 7042 - Statistics and Research Methods for Allied Health

Mathematics Part-time Studies Course

School of Computing and Academic Studies

To support you and your education, BCIT is adapting applied learning in formats appropriate to the unfolding global situation. All PTS classes are being delivered in an online format unless you are notified otherwise.

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

$657.35

Winter 2021

Below is one offering of this course for the Winter 2021 term.

CRN 83302

Mon Jan 04 - Thu Mar 25 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 04 - Mar 25 Online Delivery
See Notes below

Instructor

Harpreet Kaur

Course Outline

Cost

$657.35

Notes

  1. Internet delivery format.
  2. ***This is not a self-paced course. There will be set dates for assignments and exams.***
  3. Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.

This course offering is in progress. Please check back next term or subscribe to receive email updates.

In Progress

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

MATH 7042 is offered as a part of the following programs:

School of Health Sciences

  1. Bachelor of Health Science (Magnetic Resonance Imaging Option)
    Part-time/Distance & Online Learning   Bachelor of Health Science

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