ETF1100 - Business statistics - Monash University

There is a more recent version of this academic item available.

Overview

You will learn to use basic statistical techniques and apply them to problems in accounting, finance, management, marketing and business in general. You should also be able to effectively communicate the results of your analyses. This unit covers descriptive statistics for revealing the information contained in data; probability as a tool for dealing with uncertainty; probability distributions to model business behaviour; confidence interval estimation and hypothesis testing techniques for single populations; analysis of relationships between variables using simple linear regression; and simple tools for forecasting time series data. Excel software will be used.

Offerings

NOV12-CAULFIELD-ON-CAMPUS

S1-01-CAULFIELD-ON-CAMPUS

S1-FF-CAULFIELD-FLEXIBLE

S2-01-CAULFIELD-ON-CAMPUS

TRI-A-29-CITY-ON-CAMPUS

TRI-B-29-CITY-ON-CAMPUS

TRI-C-29-CITY-ON-CAMPUS

Requisites

Prohibition

Business and economic statistics

Business and economic statistics

ETW1100

6 CP

Introduction to business analytics

FIT1006

6 CP

Business information analysis

SCI1020

6 CP

Introduction to statistical reasoning

STA1010

6 CP

Statistical methods for science

Contacts

Chief Examiner(s)

Ms Charanjit Kaur

Dr Daniel Melser

Professor Mark Crosby

Notes

IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Learning outcomes

On successful completion of this unit, you should be able to:

interpret business data using descriptive statistics techniques, including the use of Excel spreadsheet functions

apply simple concepts of probability and probability distributions to problems in business decision-making

describe the role of statistical inference and apply inference methods to single populations

interpret and evaluate relationships between variables for business decision-making, using the concept of correlation and simple linear regression

apply suitable statistical techniques for describing and forecasting time series data.

Assessment

1 - Within semester assessment

2 - Examination

Value %:60

Hurdle type:Threshold

Hurdle description:

This unit contains a hurdle requirement that you must achieve to be able to pass the unit. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.

Offering(s):

First semester, Caulfield, Teaching activities are on-campus (ON-CAMPUS)
First semester (Fully flex), Caulfield, Flexible (FLEXIBLE)

2 - Examination

Value %:50

Hurdle type:Threshold

Hurdle description:

Offering(s):

Second semester, Caulfield, Teaching activities are on-campus (ON-CAMPUS)
Trimester A, City (Melbourne), Teaching activities are on-campus (ON-CAMPUS)
Trimester B, City (Melbourne), Teaching activities are on-campus (ON-CAMPUS)
Trimester C, City (Melbourne), Teaching activities are on-campus (ON-CAMPUS)

Scheduled and non-scheduled teaching activities

Lectures

Tutorials

Workshops

Workload requirements

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

Learning resources

Required resources

Technology resources

Other unit costs

Costs are indicative and subject to change.
Electronics, calculators and tools: $40