Courses & Units
Data Handling and Statistics 1 XPD129
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 |
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Unit code | XPD129 |
Credit points | 12.5 |
College/School | Academic Division Provost |
Discipline | University Pathways |
Coordinator | Mr Damien Palmer |
Available as an elective? | No |
Delivered By | Third Party(ies): UP Education |
Level | Introductory |
Availability
Location | Study period | Attendance options | Available to | ||
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Hobart | IPC Semester 1 | On-Campus | International | ||
Hobart | IPC Semester 2 | On-Campus | International | ||
Hobart | IPC Semester 3 | On-Campus | International |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Key Dates
Study Period | Start date | Census date | WW date | End date |
---|---|---|---|---|
IPC Semester 3 | 17/10/2022 | 7/11/2022 | 2/12/2022 | 27/1/2023 |
IPC Semester 1 | 21/2/2022 | 22/3/2022 | 9/4/2022 | 27/5/2022 |
Summer school (early) | 8/11/2021 | 1/1/2022 | 2/1/2022 | 20/2/2022 |
IPC Semester 2 | 27/6/2022 | 26/7/2022 | 10/8/2022 | 23/9/2022 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Summarize and explore large 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 to make inferences based on data.
- Perform common statistical analyses in a statistical computing package.
Fee Information
Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
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010103 | $498.00 | $498.00 | not applicable | $2,402.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
KMA153Teaching
Assessment | Examination (40%)|Quizes (20%)|Project 1: Descriptive Statistics (15%)|Project 2 Design Task (10%)|Project 3 - Inferential Statistics (15%) |
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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. |
Links | Booktopia textbook finder |
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.