ECON 1006 Introduction to Economic Methods
Credit Points 10
Legacy Code 200052
Coordinator Raja Mukherjee Opens in new window
Description Introduction to Economic Methods covers basic concepts in mathematics and statistics to help student understanding of subjects such as accounting, management, marketing, finance, and economics. Students taking this subject are expected to improve their numeracy and analytical skills. In particular, students will learn how to collect, analyse and interpret data using simple descriptive and inferential statistical methods including simple regression analysis. In addition, by working through applied exercises, students are expected to improve their problem solving skills and acquire a basic understanding of calculus relevant to fields such as finance.
School Business
Discipline Economics
Student Contribution Band HECS Band 4 10cp
Check your fees via the Fees page.
Level Undergraduate Level 1 subject
Equivalent Subjects LGYA 9799 - Introduction to Economic Methods MATH 1030 - Statistics for Business MATH 1028 - Statistical Decision Making MATH 1029 - Statistical Decision Making (UWSC) MATH 1012 - Management Analytics MATH 1031 - Statistics for Business (WSTC)
Assumed Knowledge
HSC Mathematics or equivalent.
Learning Outcomes
- Apply concepts of simple algebra and calculus in describing economic concepts and solve elementary problems in unconstrained optimisation as applied in accounting, finance and economics;
- Collect data and analyse its main features using descriptive statistics and computer software;
- Apply probability concepts to solve problems;
- Evaluate arguments involving discrete or continuous probability distributions;
- Perform statistical inference involving interval estimation and hypothesis testing of statistical population parameters;
- Analyse the relationship between two variables using statistical techniques.
Subject Content
- The use of calculus to model Basic economic and business concepts
- Unconstrained and constrained optimisation in economics using calculus
- Descriptive statistics, frequency and relative frequency distributions
- The concept of A statistical experiment and Basic probability concepts
- Discrete probability distributions including The binomial Distribution
- Continuous probability distributions: The normal Distribution
- The Sampling Distribution of The sample mean and The central limit theorem
- Point and interval estimation of A population mean, population proportion and population variance (including business applications)
- Hypothesis testing of A population mean, population proportion and population variance (including business applications)
- inference involving The student?fs Distribution and The chi-square Distribution
- Correlation analysis
Assessment
The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.
Type | Length | Percent | Threshold | Individual/Group Task | Mandatory |
---|---|---|---|---|---|
Quiz | Quizzes are non-compulsory. There are three online with each quiz having a weighting of 10%. 90 minutes are allowed per quiz for completion. | 30 | N | Individual | N |
Report | 800 words | 10 | N | Individual | N |
Final Exam | 3 hours | 60 | N | Individual | Y |
Prescribed Texts
- Comprehensive lecture notes will be provided for students on vUWS, and students will be referred to a variety of reference materials freely downloadable from the internet or available in the library.
Teaching Periods
Autumn (2024)
Online
Online
Subject Contact Raja Mukherjee Opens in new window
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Parramatta City - Macquarie St
On-site
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Autumn (2025)
Online
Online
Subject Contact Raja Mukherjee Opens in new window
View timetable Opens in new window
Parramatta City - Macquarie St
On-site
Subject Contact Raja Mukherjee Opens in new window