Course Description
Course Name
Introductory Statistics
Session: VCPF3125
Hours & Credits
18 Host University Units
Prerequisites & Language Level
Course entry requirements: A pass in any of MAM1004F/S or MAM1005H or MAM1000W or MAM1006H or MAM1020F/S or MAM1010F/S or STA1001F.
Taught In English
- There is no language prerequisite for courses at this language level.
Overview
Course outline:
This is an introductory statistics course where the collection, display, analysis and interpretation of data are discussed. It is a service course offered predominantly, but not exclusively, to Commerce students. The aim is to give a foundation to students who will be reading and applying statistics in their other courses and professions. It is useful to students who would like an introduction to statistics with an applied emphasis. Topics covered include: Exploratory data analysis and summary statistics; probability theory; random variables; probability mass and density functions; binomial, Poisson, exponential, normal and uniform distributions; sampling distributions; confidence intervals; introduction to hypothesis testing (including various tests on means); determining sample sizes; simple linear regression and measures of correlation.
This is an introductory statistics course where the collection, display, analysis and interpretation of data are discussed. It is a service course offered predominantly, but not exclusively, to Commerce students. The aim is to give a foundation to students who will be reading and applying statistics in their other courses and professions. It is useful to students who would like an introduction to statistics with an applied emphasis. Topics covered include: Exploratory data analysis and summary statistics; probability theory; random variables; probability mass and density functions; binomial, Poisson, exponential, normal and uniform distributions; sampling distributions; confidence intervals; introduction to hypothesis testing (including various tests on means); determining sample sizes; simple linear regression and measures of correlation.
*Course content subject to change