Course Title: Applied Statistical Methods

Part A: Course Overview

Course Title: Applied Statistical Methods

Credit Points: 12


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

ECON1065

City Campus

Undergraduate

625H Economics, Finance & Marketing

Face-to-Face


Course Coordinator: Maira Vitols

Course Coordinator Phone: +61 3

Course Coordinator Email:


Pre-requisite Courses and Assumed Knowledge and Capabilities

ECON1030 Business Statistics I


Course Description

The aim of this subject is to develop skills in collecting, processing, analysing and reporting on data.Emphasis is placed on the use of sample surveys as a data source. Statistical techniques developed in Business Statistics 1 are extended and applied. Students learn to use the SPSS for Windows computer package to generate descriptive and inferential statistics.


Objectives/Learning Outcomes/Capability Development

Capabilities

At the conclusion of this subject, you should be able to:
-Understand the steps involved in undertaking a sample survey.
-Critically evaluate sample survey research undertaken by yourself and others.
-Use SPSS for Windows to analyse survey data, in particular to generate appropriate descriptive statistics and some hypothesis tests.
-Interpret and report on SPSS output.
-Undertake hypothesis tests about the difference between means, proportions and variances of two populations.
-Undertake hypothesis tests about more than two population means and proportions.
-Use the chi-square goodness of fit test and test of independence.
-Explain the relevance and appropriate use of a range of non-parametric methods.



Overview of Learning Activities

To achieve the objectives listed above this subject requires you to participate in various learning activities. These activities comprise the following:
- Attendance at and note-taking during scheduled lectures.
- Reading of, and note-taking from the prescribed texts and other listed references.
- Preparing for tutorials/computer lab by spending time, where necessary, becoming familiar with SPSS as well as working through tutorial problems.
- Attendance and participation during computer lab/tutorial sessions.
- Completion of one minor SPSS based assignment.
- Completion of one major assignment involving gathering, processing, analysing and reporting on sample survey data.


Overview of Learning Resources

Text Book
Online notes via RMIT DLS
Students will use the SPSS computer package which is available in the computer labs.


Overview of Assessment

There are three pieces of assessment. The first is a small SPSS assignment. This is followed by a larger data collection and analysis assignment. There is also a two-hour final exam.

The assignments will be distributed in class and made available on the Learning Hub.