Studying online
There are now 2 possible online modes for units:
Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.
Click on an offering mode for more details.
Unit Overview
- Description
Statistical methods are used to analyse data in a wide variety of fields (e.g. engineering, medicine, agriculture, business, economics, psychology, genetics, criminology, the social sciences). While statistical theory can be helpful in analysing such data, its direct application may be limited by practical problems. For example, some of the data may be missing, some observations may be inconsistent with the rest of the data, the standard assumptions (e.g. normality) may fail, and the standard methods may not answer the important questions. The best way to learn how to deal with these practical problems is to gain experience in analysing real data. This unit provides that experience through case studies and projects. The emphasis is on applying statistical methods to interesting practical problems rather than on the theory behind the methods.
The unit covers applications of a number of widely used statistical techniques selected from generalised linear models, nonlinear regression models, advanced regression topics, survival analysis, non-parametric statistics, multivariate analysis, and time series analysis. Furthermore, throughout the unit a large emphasis is placed on data visualisation techniques.
- Credit
- 6 points
- Offering
(see Timetable) Availability Location Mode Semester 1 UWA (Perth) Face to face - Details for undergraduate courses
- Level 3 core unit in the Human Sciences and Data Analytics major sequence
- Level 3 option in the Business Analytics major sequence
- Level 3 elective
- Outcomes
Students are able to (1) apply statistical reasoning to analyse the essential structure of problems in various fields of human endeavour; (2) extend their knowledge of statistical techniques and adapt known solutions to different situations; (3) communicate effectively with others and present results in a logical and coherent fashion; and (4) produce high quality and appropriate data visualisations using a variety of techniques and software packages.
- Assessment
Indicative assessments in this unit are as follows: (1) assignments; (2) tests; and (3) a final examination. Further information is available in the unit outline.
Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.
- Unit Coordinator(s)
- Associate Professor Adriano Polpo de Campos
- Unit rules
- Prerequisites
- or STAT2062 Fundamentals of Probability with Applications
Course Enrolment inthe MJD-QTMTD Quantitative Methods majorand STAT2401 Analysis of Experiments
or the MJD-HSDEM Human Sciences and Data Analytics major
or the MNR-ASTAT Applied Statistical Learning minor
and STAT2402 Analysis of Observations - Incompatibility
- STAT4064 Applied Predictive Modelling
- Contact hours
- Lectures: 2-hours per week
Labs 2-hours per week - Note
- Unit will be changed from semester 2 to semester 1 from 2022.
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
- Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.
Face to face
Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Online flexible
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
Online timetabled
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
Online Restricted
Not available for self-enrolment. Students access this mode by contacting their student office through AskUWA. 100% Online Unit.
NO campus face-to-face attendance. All study and assessment requirements are online only. Unit includes some timetabled activities, with a requirement for students to participate online at specific times. In exceptional cases (noted in the Handbook) students may be required to participate in face-to-face laboratory classes when a return to UWA’s Crawley campus becomes possible in order to be awarded a final grade.
External
No attendance or regular contact is required, and all study requirements are completed either via correspondence and/or online submission.
Off-campus
Regular attendance is not required, but student attends the institution face to face on an agreed schedule for purposes of supervision and/or instruction.
Multi-mode
Multiple modes of delivery. Unit includes a mix of online and on-campus study requirements. On campus attendance for some activities is required to complete this unit.