Course Description

Course Name

Quantitative Analysis for Business

Session: VDNS3121

Hours & Credits

18 Credit Points

Prerequisites & Language Level

Taught In English

  • There is no language prerequisite for courses at this language level.

Overview

Descriptive and inferential statistics for commerce including applications to business research and practice. An introduction to statistical software, with practical work emphasising applications.

Learning Outcomes
It is expected that students will develop the following knowledge and skills during the course of this paper:
- Explain and implement sample survey methods and data collection
- Distinguish between different data types
- Tabulate, calculate and analyse descriptive statistical measures and interpret and make decisions from them
- Define discrete probability distributions and calculate probabilities
- Define the standard normal distribution and be able to standardise a normal distribution
- Implement hypothesis tests and construct confidence intervals for a mean or a proportion and interpret findings in context (both by hand and electronically by calculator and SPSS/Excel)
- Implement hypothesis tests and construct confidence intervals for differences in two means or proportions for independent random samples and interpret findings in context (both by hand and electronically by calculator and SPSS/Excel)
- Implement simple one-way ANOVA and carry out appropriate post-hoc tests (SPSS/Excel)
Carry out Chi-square multinomial (goodness of fit) test and Chi-square test of independence and relate findings to decision making (calculator and SPSS/Excel)
- Undertake a simple linear regression analysis (SPSS), assess the suitability of the analysis via residual analysis and interpret findings in context and forecast
- Perform correlation analysis (Spearman's and Pearson's), test for significant correlation and interpret findings in context
- Identify components of time series for both additive and multiplicative models and interpret and calculate trends, seasonal factors, de-seasonalised data and forecast

Textbooks
Australian Business Statistics, Selvanathan, Selvanathan, Keller 6th Ed.

*Course content subject to change