Statistical Concepts for Science
Your upfront cost: $0
- 26 Jul 2021
This research-intensive university in north-western Sydney offers a range of undergraduate and postgraduate degrees. With over 30,000 current students, Macquarie has a strong reputation for welcoming international students and embracing flexible and convenient study options, including its partnership with Open Universities Australia.
QS RANKING 2021
Times Higher Education Ranking 2021
On successful completion of this subject, you will be able to:
- Organise and summarise data graphically and numerically
- Analyse and solve problems about distributions and sampling distributions.
- Evaluate and apply statistical strategies to answer a research question.
- Draw conclusions from the results of a statistical analysis
- Evaluate the appropriateness of statistical methodologies when analysing a variety of problems arising from other fields of research.
- Demonstrate foundational employability and self-directed learning skills, including recording academic achievements to link university study to future careers.
- A week-by-week guide to the topics you will explore in this subject will be provided in your study materials.
NCCW (pre-2020 units) PSY122, STAT122, STAT170, STAT150, STAT171, WSTA150 NCCW (2020 and onwards) FOSE1015 Statistical Concepts for Science STAT1170 Introductory Statistics STAT1250 Business Statistics WSTA1250 Business Statistics STAT1371 Statistical Data Analysis
- OtherDetails -
Students who have an Academic Standing of Suspension or Exclusion under Macquarie University's Academic Progression Policy are not permitted to enrol in OUA subjects offered by Macquarie University. Students with an Academic Standing of Suspension or Exclusion who have enrolled in subjects through OUA will be withdrawn.
This subject provides a broad introduction to statistical concepts and data analysis techniques. You will develop an understanding of statistical practice through a study of those techniques most commonly used in the sciences, social sciences and humanities. Topics covered in this subject include data collection methods, data quality, data summarisation, and statistical models such as the normal distribution, followed by sampling distributions and statistical inferences about means and proportions. Also studied are methods of analysis relating to comparisons, counted data and relationships, including regression and correlation. Statistical computer packages are used for handling and analysing data. However, no prior computing knowledge is assumed. This subject introduces vital skills for tertiary learning and explores their relationship to success in future careers.
- Quiz: Module 1 (20%)
- Quiz: Module 2 (20%)
- Quiz: Module 3 (20%)
- Quiz: Module 4 (20%)
- Quiz: Module 5 (20%)
- Foundation activities (0%)
Current study term: 25 Jul 21 to 05 Nov 21
Check the learning management system (LMS) of your university for textbook details.