Course Description

Course Name

Bionumeracy

Session: VCPS3119

Hours & Credits

18 Host University Units

Prerequisites & Language Level

Overview

Course outline:
This course aims to provide an introduction to statistics for Science students, and the topics covered include: exploratory data analysis and summary statistics. Set theory. Probability: conditional probabilities, independence, Bayes theorem. Random variables. Probability mass and density functions. Binomial, Poisson, exponential, normal and uniform distributions. Sampling distributions. Confidence intervals. Hypothesis testing: Z-test and t-test (means, difference between means for independent and dependent samples). Chi-square test for independence and for Goodness-of-fit. Meaning of p-values. Determining sample size. Simple linear regression and measures of correlation. Practical data analysis will be taught using Excel. The course is the equivalent of STA1000S, in a biological setting.

*Course content subject to change