Overview
Introduction to types of business decisions and selection of appropriate quantitative or qualitative data gathering techniques. Characteristics of data types, application of tools, interpretations of results and ethical issues.
About this paper
| Paper title | Interpreting Business Data |
|---|---|
| Subject | Business Studies |
| EFTS | 0.15 |
| Points | 18 points |
| Teaching period(s) | Semester 1
(On campus)
Semester 2 (On campus) |
| Domestic Tuition Fees ( NZD ) | $1,053.30 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Restriction
- BSNS 102, STAT 110, STAT 115
- Schedule C
- Commerce
- Notes
- This is a required paper for BCom from 2017 (to be taken in place of BSNS102 by students completing under earlier regulations).
- Contact
- More information link
- View more information on the Otago Business School's website
- Teaching staff
Semester 1: Mark Millin (Economics)
Semester 2: Dr Peter Gibbard (Economics)
- Textbooks
Selvanathan, E.A., Selvanathan, S., & Keller, G. (2021). Business statistics: Australia/New Zealand. 8th edition. South Melbourne, Victoria: Cengage. [ISBN: 9780170439527]
- Graduate Attributes Emphasised
- Critical Thinking, Research, Interdisciplinary Perspective, Scholarship, Ethics.
View more information about Otago's graduate attributes. - Learning Outcomes
- Students who successfully complete the paper will:
- Be able to describe different types of business decisions and their associated characteristics
- Understand the process of business decisions, including the articulation of relevant questions, data collection, data analysis and interpretation
- Be able to select an appropriate quantitative or qualitative technique to answer a given question, taking into account its strengths and weaknesses and the characteristics of the data
- Be familiar with some of the tools used to perform quantitative and qualitative data analysis
- Demonstrate awareness of ethical and privacy issues relating to data collection and analysis
- Be able to interpret critically the result of data analysis
Overview
Introduction to types of business decisions and selection of appropriate quantitative or qualitative data gathering techniques. Characteristics of data types, application of tools, interpretations of results and ethical issues.
About this paper
| Paper title | Interpreting Business Data |
|---|---|
| Subject | Business Studies |
| EFTS | 0.15 |
| Points | 18 points |
| Teaching period(s) | Semester 1
(On campus)
Semester 2 (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2027 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Restriction
- BSNS 102, STAT 110, STAT 115
- Schedule C
- Commerce
- Notes
- This is a required paper for BCom from 2017 (to be taken in place of BSNS102 by students completing under earlier regulations).
- Contact
- More information link
- View more information on the Otago Business School's website.
- Teaching staff
Semester 1: Mark Millin (Economics)
Semester 2: Dr Peter Gibbard (Economics)
- Textbooks
Selvanathan, E.A., Selvanathan, S., & Keller, G. (2021). Business statistics: Australia/New Zealand (8th ed.). South Melbourne, Victoria: Cengage. [ISBN: 9780170439527]
- Graduate Attributes Emphasised
- Interdisciplinary perspective, Scholarship, Critical thinking, Ethics, Research.
View more information about Otago's graduate attributes. - Learning Outcomes
Students who successfully complete the paper will:
- Be able to describe different types of business decisions and their associated characteristics.
- Understand the process of business decisions, including the articulation of relevant questions, data collection, data analysis and interpretation.
- Be able to select an appropriate quantitative or qualitative technique to answer a given question, taking into account its strengths and weaknesses and the characteristics of the data.
- Be familiar with some of the tools used to perform quantitative and qualitative data analysis.
- Demonstrate awareness of ethical and privacy issues relating to data collection and analysis.
- Be able to interpret critically the result of data analysis.