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MB 235

Statistics for Management

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This course is an introduction to the logic of computerized application of common descriptive and inferential statistical concepts and techniques. Topics include data collection and cleaning, probability, sampling, estimation, non-parametric tests and simple and multiple regression. Prerequisites: MB135. Exclusions: EC255/BU255, MB125. 3 lecture hours

This course is an introduction to the logic of computerized application of common descriptive and inferential statistical concepts and techniques. Topics include data collection and cleaning, probability, sampling, estimation, non-parametric tests and simple and multiple regression. Prerequisites: MB135. Exclusions: EC255/BU255, MB125. 3 lecture hours

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This course is an introduction to the logic of computerized application of common descriptive and inferential statistical concepts and techniques. Topics include data collection and cleaning, probability, sampling, estimation, non-parametric tests and simple and multiple regression. Prerequisites: MB135. Exclusions: EC255/BU255, MB125. 3 lecture hours

MB 235

Statistics for Management

0%Liked

Easy

0%

Useful

0%

0 ratings

This course is an introduction to the logic of computerized application of common descriptive and inferential statistical concepts and techniques. Topics include data collection and cleaning, probability, sampling, estimation, non-parametric tests and simple and multiple regression. Prerequisites: MB135. Exclusions: EC255/BU255, MB125. 3 lecture hours

This course is an introduction to the logic of computerized application of common descriptive and inferential statistical concepts and techniques. Topics include data collection and cleaning, probability, sampling, estimation, non-parametric tests and simple and multiple regression. Prerequisites: MB135. Exclusions: EC255/BU255, MB125. 3 lecture hours

0%Liked

Easy

0%

Useful

0%

0 ratings

This course is an introduction to the logic of computerized application of common descriptive and inferential statistical concepts and techniques. Topics include data collection and cleaning, probability, sampling, estimation, non-parametric tests and simple and multiple regression. Prerequisites: MB135. Exclusions: EC255/BU255, MB125. 3 lecture hours

MB 235 Prerequisites

No Prerequisite Information Available

MB 235 Leads To

MB 307, MB 305

MB 235 Restrictions

Must be enrolled in one of the following Levels:

Undergraduate (UG)

Course Schedule