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Unit Overview


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.

6 points
(see Timetable)
Semester 1UWA (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

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.


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

Course Enrolment in
the MJD-QTMTD Quantitative Methods major
or the MJD-HSDEM Human Sciences and Data Analytics major
or the MNR-ASTAT Applied Statistical Learning minor
and STAT2401 Analysis of Experiments
and STAT2402 Analysis of Observations
or STAT2062 Fundamentals of Probability with Applications
STAT4064 Applied Predictive Modelling
Contact hours
Lectures: 2-hours per week
Labs 2-hours per week
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.
  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.
  • 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.