Statistical Modelling and Forecasting for Business - MNGT5331
Faculty: UNSW Business School
School: AGSM MBA Programs
Course Outline: AGSM Website
Campus: Sydney
Career: Postgraduate
Units of Credit: 6
EFTSL: 0.12500 (more info)
Indicative Contact Hours per Week: 32
Enrolment Requirements:
Prerequisite: Restricted to Full Time MBA and MBA/LLM students
CSS Contribution Charge: 2 (more info)
Tuition Fee: See Tuition Fee Schedule
Further Information: See Class Timetable
View course information for previous years.
Description
This course extends the concepts of hypothesis testing and interval estimation.
In particular, these concepts are developed and applied in one and two-sample problems, simple linear regression, multiple linear regression and time series.
A consistent theme throughout the course is the concept of model building, in which the data are used in the development a parsimonious summary of the given situation.
It will be identified that the resulting models can be used to validate decisions and/or for predictive purposes.
The techniques developed in the course are widely applicable in a number of areas of management, including organizational behaviour, marketing, finance and economics.
In particular, these concepts are developed and applied in one and two-sample problems, simple linear regression, multiple linear regression and time series.
A consistent theme throughout the course is the concept of model building, in which the data are used in the development a parsimonious summary of the given situation.
It will be identified that the resulting models can be used to validate decisions and/or for predictive purposes.
The techniques developed in the course are widely applicable in a number of areas of management, including organizational behaviour, marketing, finance and economics.
Study Levels
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