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Introduction to Biostatistics

Course Code: BUSN 1335
Faculty: Commerce & Business Administration
Department: Business
Credits: 3.0
Semester: 15 Weeks X 4 Hours per Week = 60 Hours
Learning Format: Lecture, Seminar
Typically Offered: TBD. Contact Department Chair for more info.
course overview

This course restricted to HIM students is an introduction to biostatistics - statistical methods applied to data derived from biological sciences and medicine. Topics covered include descriptive statistics, probability concepts, probability distributions such as the binomial, Poisson and normal distributions, sampling distribution and linear estimation.

Course Content

  1. Simple Random Sample.
  2. Frequency distribution.
  3. Measures of Central Tendency and Dispersion.
  4. Calculating the probability of an event: conditional, joint, marginal probabilities.
  5. Probability distributions of discrete variables: Binomial distribution and Poisson.
  6. Probability distribution of continuous variable: Normal distribution.
  7. Distribution of the sample mean: central limit theorem.
  8. Distribution of the sample proportion.
  9. Confidence interval for a population mean.
  10. The t-distribution.
  11. Confidence interval for a population proportion.
  12. Determination of sample size for estimating means.
  13. Determination of sample size for estimating proportion.
  14. Confidence interval for the variance of a normally distributed population.
  15. Hypothesis Testing: Formulating and testing a research hypothesis, l-tailed tests about a sample mean, type 1 error.

Methods of Instruction

Material will be presented primarily in lecture form with some time allocated for classroom discussion, correction of assigned exercises and completing exercise using a statistical software and spreadsheet.

Means of Assessment

A final course grade will be determined based on the following:

Semester tests (2-3)      50%
Class participation   0-05%
Assignments and quizzes  15-20%
Final examination      30%

Learning Outcomes

At the end of the course, the successful student should be able to:

  1. organize and summarize health science data;
  2. draw a scientific sample from a population;
  3. apply the appropriate inferential statistics technique to reach decisions about a population by examining a sample;
  4. apply these statistical techniques both manually and using statistical and spreadsheet software.

curriculum guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester/year of the course, consider the previous version as the applicable version.

course schedule and availability
course transferability

Below shows how this course and its credits transfer within the BC transfer system. 

A course is considered university-transferable (UT) if it transfers to at least one of the five research universities in British Columbia: University of British Columbia; University of British Columbia-Okanagan; Simon Fraser University; University of Victoria; and the University of Northern British Columbia.

For more information on transfer visit the BC Transfer Guide and BCCAT websites.


If your course prerequisites indicate that you need an assessment, please see our Assessment page for more information.