ST 231
Stats for Life & Health Sci
This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software.
Prerequisites: One of: MA100, MA101,
MA102, MA103, MA110.
Exclusions: EC205/BU205, EC255/BU255, EC285, MA141, MA240, MA241, PS296, ST230, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.
This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software.
Prerequisites: One of: MA100, MA101,
MA102, MA103, MA110.
Exclusions: EC205/BU205, EC255/BU255, EC285, MA141, MA240, MA241, PS296, ST230, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.
This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software.
Prerequisites: One of: MA100, MA101,
MA102, MA103, MA110.
Exclusions: EC205/BU205, EC255/BU255, EC285, MA141, MA240, MA241, PS296, ST230, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.
