ST 230
Probability & Stats for Sci
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.
Prerequisites: One of MA101, MA103, MA110.
Exclusions: MA240, MA241, BU205, BU255, EC205, EC255, EC285, ST231, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.
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.
Prerequisites: One of MA101, MA103, MA110.
Exclusions: MA240, MA241, BU205, BU255, EC205, EC255, EC285, ST231, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.
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.
Prerequisites: One of MA101, MA103, MA110.
Exclusions: MA240, MA241, BU205, BU255, EC205, EC255, EC285, ST231, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.
