This course introduces students to the use of statistics as a tool for research in the health sciences. Topics covered include experimental design, standard and requirements of ethical research, descriptive statistics (organization and presentation of data), probability (discrete/continuous), estimation (confidence intervals and sample size), hypothesis testing (involving means and proportions), and linear regression (least squares fit and associated confidence/prediction intervals).
- No prerequisites are required for this course.
Below is one offering of CARD 1187 for the Fall 2023 term.
Tue Sep 05 - Fri Nov 24 (12 weeks)
- 12 weeks
- CRN 31927
Class meeting times
|Sep 05 - Nov 24||N/A||N/A||Distance|
- Guided learning 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 online Learning Hub course is for students in the Cardiology Diploma program. Students are responsible for ensuring prerequisite courses are completed PRIOR to registration. See course description for a list of individual prerequisites. IMPORTANT NOTE: Registration is available on an individual course basis for those who wish to take continuing education credits (Max 3 courses). Registration does not imply admission to the program. This course may be subject to cancellation if registration numbers are low.
This course offering is in progress. Please check back next term or subscribe to receive email updates.
Upon successful completion of this course, the student will be able to:
- Explain the different types of medical study design along with their limitations
- Use summary statistics and standard data plots to investigate and describe similarities and differences between data on two or more groups of subjects in a medical study.
- Calculate probability results related to medical testing using Bayes' theorem, basic probability, and the medical test parameters: sensitivity and specificity
- Calculate p-values for a variety of hypothesis tests common in cardiology research.
- Explain the use of p-values in supporting research claims in cardiology and other health fields.
- Evaluate articles in clinical journals for statistical significance of the result and appropriateness of the statistical analysis being used.
- Use linear regression to determine a simple model for the relationship between predictor and response variables.
Effective as of Winter 2022
Introductory Statistics for Health (CARD 1187) is offered as a part of the following programs:
School of Health Sciences
- Cardiology Technology
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Programs and courses are subject to change without notice.