Introduction to Probability and Statistics for Science
0.5 Credit

Hours per week:
  • Lecture/Discussion: 3
  • Lab: 1.5 (biweekly)

Data collection and description including univariate and bivariate frequency tables, histograms and summary statistics; elementary probability theory; random variables and expectations; sampling theory and the Central Limit Theorem; estimation and hypothesis testing for data from one and two normal populations.

Additional Course Information
One of: MA101, MA103, or MA110
MA240, MA241, BU205, BU255, EC205, EC255, EC285, ST231; prior credit for ST260, current enrolment in ST260.
This course may not count for credit in Honours Mathematics, Financial Mathematics, or Data Science programs.