Introduction
Data Handling and Statistics 1 is the first of three applied statistics units offered by the School of Natural Sciences (Mathematics). Statistics is the science of decision making, and as such forms a key foundation of any scientific research. This unit develops skills in statistical analysis and project design. Data Handling and Statistics 1 is an applied unit that develops conceptual understanding of the foundations of modern Statistics together with practical skills in data analysis. This is a hands-on unit that provides experience with the common techniques of descriptive and inferential statistics.
Summary
| Unit name | Data Handling and Statistics 1 |
| Unit code | KMA153 |
| Credit points | 12.5 |
| College/School | Sciences and Engineering School of Natural Sciences |
| Discipline | Mathematics |
| Coordinator | Doctor Danijela Ivkovic |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
| Level | Introductory |
Availability
Specific information on 2027 unit availability will be available in August
Learning Outcomes
- summarize and explore multivariate data sets using appropriate numeric and graphical tools in order to communicate statistical concepts to both scientific and lay audiences.
- recognize the key issues involved in designing a survey or experiment, and assess strengths and weaknesses in statistical arguments.
- identify and apply appropriate statistical techniques, such as hypothesis tests and confidence intervals, to make inferences based on data.
- perform common statistical analyses in a statistical computing package.
Fee Information
2027 fee information will be available in August.
Requisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
KMA553Teaching
| Teaching Pattern | Face to face: Blended delivery: 1-hr/week pre-recorded video lectures, 1-hr/week live online lecture, 2-hr face-to-face computer-based practical session, 1-hr/week optional online Q&A. Online: Blended delivery: 1-hr/week pre-recorded video lectures, 1-hr/week live online lecture, 1-hr/week online computer-based practical session, 1-hr/week optional online Q&A. |
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| Assessment | Project 1 (15%)|Project 2 (15%)|Project 3 (30%)|Quiz (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.