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BU 255

Managerial Statistics

100%Liked

Easy

60%

Useful

40%

1 ratings

An introduction to classical statistics with emphasis on business and economic applications. Topics include probability distributions, estimation, hypothesis testing, simple and multiple regression, analysis of variance, chi-square tests and non-parametric statistics. Students will be taught why, where and how statistical techniques are applied. The computer will be used extensively. Prerequisites: MA103 or MA129 (or permission of the instructor). Restricted to Honours BBA students. Exclusions: BBA/BMATH program, BU205, EC205, EC255, EC285, MB235, ST260.

An introduction to classical statistics with emphasis on business and economic applications. Topics include probability distributions, estimation, hypothesis testing, simple and multiple regression, analysis of variance, chi-square tests and non-parametric statistics. Students will be taught why, where and how statistical techniques are applied. The computer will be used extensively. Prerequisites: MA103 or MA129 (or permission of the instructor). Restricted to Honours BBA students. Exclusions: BBA/BMATH program, BU205, EC205, EC255, EC285, MB235, ST260.

100%Liked

Easy

60%

Useful

40%

1 ratings

An introduction to classical statistics with emphasis on business and economic applications. Topics include probability distributions, estimation, hypothesis testing, simple and multiple regression, analysis of variance, chi-square tests and non-parametric statistics. Students will be taught why, where and how statistical techniques are applied. The computer will be used extensively. Prerequisites: MA103 or MA129 (or permission of the instructor). Restricted to Honours BBA students. Exclusions: BBA/BMATH program, BU205, EC205, EC255, EC285, MB235, ST260.


BU 255 Prerequisites

MA 103 (Min. Grade D-) or MA 129 (Min. Grade D-)

BU 255 Leads To

BU 275, BU 422, BU 467, EC 295, EC 335, EC 348, MA 270, MA 373

BU 255 Restrictions

Must be enrolled in one of the following Levels:

Undergraduate (UG)

Cannot be enrolled in one of the following Year Levels:

Year 1 (1)

BU 255

Managerial Statistics

100%Liked

Easy

60%

Useful

40%

1 ratings

An introduction to classical statistics with emphasis on business and economic applications. Topics include probability distributions, estimation, hypothesis testing, simple and multiple regression, analysis of variance, chi-square tests and non-parametric statistics. Students will be taught why, where and how statistical techniques are applied. The computer will be used extensively. Prerequisites: MA103 or MA129 (or permission of the instructor). Restricted to Honours BBA students. Exclusions: BBA/BMATH program, BU205, EC205, EC255, EC285, MB235, ST260.

An introduction to classical statistics with emphasis on business and economic applications. Topics include probability distributions, estimation, hypothesis testing, simple and multiple regression, analysis of variance, chi-square tests and non-parametric statistics. Students will be taught why, where and how statistical techniques are applied. The computer will be used extensively. Prerequisites: MA103 or MA129 (or permission of the instructor). Restricted to Honours BBA students. Exclusions: BBA/BMATH program, BU205, EC205, EC255, EC285, MB235, ST260.

100%Liked

Easy

60%

Useful

40%

1 ratings

An introduction to classical statistics with emphasis on business and economic applications. Topics include probability distributions, estimation, hypothesis testing, simple and multiple regression, analysis of variance, chi-square tests and non-parametric statistics. Students will be taught why, where and how statistical techniques are applied. The computer will be used extensively. Prerequisites: MA103 or MA129 (or permission of the instructor). Restricted to Honours BBA students. Exclusions: BBA/BMATH program, BU205, EC205, EC255, EC285, MB235, ST260.


Course Reviews

Midterm is hard but if you know variances super well, you will do great on the final!

Easy

Useful

Liked

— Business Administration (BBA) + Computer Science (BSc) student

Course Schedule