units

ETX1100

Faculty of Business and Economics

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Monash University Handbook 2010 Undergraduate - Unit

6 points, SCA Band 0 (NATIONAL PRIORITY), 0.125 EFTSL

LevelUndergraduate
FacultyFaculty of Business and Economics
OfferedCaulfield First semester 2010 (Day)
Caulfield First semester 2010 (Evening)
Caulfield Second semester 2010 (Day)
Coordinator(s)Dr Tissa Galagedera

Synopsis

Students will learn to use basic statistical techniques and their applications to problems in accounting, finance, management, marketing and business in general. Students should also be able to effectively communicate the results of their analyses. This unit covers descriptive statistics for revealing the information contained in data; probability as a tool for dealing with uncertainty and risk; probability distributions to model business behaviour; estimation and hypothesis testing techniques for decision making; simple tools for forecasting time series; and calculation and interpretation of basic price indices. Excel is used extensively.

Objectives

The learning goals associated with this unit are to:

  • interpret business data using descriptive statistics techniques, including the use of 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 population means
  • evaluate relationships between variables for business decision-making, using the concept of correlation and simple linear regression
  • apply time series techniques of indexing, deflating and forecasting to business and financial series and interpret the results.

Assessment

Within semester assessment: 50%
Examination (3 hours): 50%

Chief examiner(s)

Hsein Kew

Contact hours

Two 1-hour lectures and one 1-hour tutorial per week

Prerequisites

Students enrolled in course code 2601 must be granted permission to study this unit. For all other students, no prerequisites apply.

Prohibitions

BMS11,BUS1100, ETC1000, ETW1102, PMM2020, SCI1020