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Data Analysis 1 (MAST10010)
Undergraduate level 1Points: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Overview
Availability | Semester 2 |
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Fees | Look up fees |
This subject lays the foundations for an understanding of the fundamental concepts of probability and statistics required for data analysis. Students should develop expertise in some of the statistical techniques commonly used in the design and analysis of experiments, and will gain experience in the use of a major statistical computing package. They should develop skills in collecting random samples, data description, basic statistical inference including parametric and nonparametric tests to compare population proportions and means, data manipulation and statistical computing. The methods will be illustrated using applications from science, engineering and commerce. Descriptive statistics, data manipulation and the implementation of the statistical procedures covered in lectures will be reinforced in the computer laboratory classes.
Sampling; introduction to experimental design; review of simple probability; estimation; confidence intervals; hypothesis testing including types of errors and power; inferences about means and proportions based on single and independent samples; matched pairs designs; introduction to nonparametric methods; contingency tables; regression; and analysis of variance.
Intended learning outcomes
Students completing this subject should:
- Understand the importance of random samples and experimental design in scientific research;
- Understand some fundamental concepts of statistical inference relating to confidence intervals and hypothesis testing;
- Use quantitative and graphical methods to describe a set of data;
- Develop expertise in the use of some common statistical techniques;
- Become familiar with a major statistical computing package.
Generic skills
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
- problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
- analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- collaborative skills: the ability to work in a team;
- time-management skills: the ability to meet regular deadlines while balancing competing commitments; and
- computer skills: the ability to use statistical computing packages.
Last updated: 22 March 2024
Eligibility and requirements
Prerequisites
Study score of 25 or more in VCE Mathematical Methods 3/4 or equivalent
OR
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10012 | Introduction to Mathematics |
Summer Term (Online)
Semester 1 (On Campus - Parkville)
|
12.5 |
OR both of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10014 | Foundation Mathematics 1 | Semester 1 (On Campus - Parkville) |
12.5 |
MAST10015 | Foundation Mathematics 2 | Semester 2 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
Students may only gain credit for one of
- MAST10010 Data Analysis 1
- MAST10011 Experimental Design and Data Analysis
- ECON10005 Quantitative Methods 1
Students who have completed any of the following may not enrol in this subject for credit
- MAST20005 Statistics
- MAST20017 Applied Statistics for Optometrists (prior to 2012)
Bachelor of Science students are permitted to complete a maximum of three level-1 Mathematics and Statistics subjects. They are not permitted to complete all four of MAST10005, MAST10006, MAST10007 and MAST10010
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 22 March 2024
Assessment
Additional details
Ten online quizzes due at weekly intervals during semester (10%), two written assignments due during semester amounting to a total of up to 25 pages (10%), one 45-minute computer based test at the end of semester (10%), and a 3-hour written examination in the examination period (70%).
Last updated: 22 March 2024
Dates & times
- Semester 2
Principal coordinator Julia Polak Mode of delivery On Campus (Parkville) Contact hours 3 x one hour lectures per week, 1 x one hour practice class per week, 1 x one hour computer laboratory class per week. Total time commitment 170 hours Teaching period 29 July 2019 to 27 October 2019 Last self-enrol date 9 August 2019 Census date 31 August 2019 Last date to withdraw without fail 27 September 2019 Assessment period ends 22 November 2019 Semester 2 contact information
Time commitment details
Estimated total time commitment of 170 hours
Last updated: 22 March 2024
Further information
- Texts
Prescribed texts
Jessica Utts and Robert Heckard, Mind on Statistics, 4th Edition, Cengage Learning, 2010.
- Subject notes
This subject is available for science credit to students enrolled in the BSc (both pre-2008 and new degrees), BASc or a combined BSc course.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Bachelor of Environments Informal specialisation Science-credited subjects - new generation B-SCI Informal specialisation Selective subjects for B-BMED Major Environmental Science - Breadth options
This subject is available as breadth in the following courses:
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 22 March 2024