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# UWA Handbook 2017

## STAT4067 Applied Statistics and Data Visualisation

Credit 6 points
Offering
(see Timetable)
 Availability Location Mode Semester 2 UWA (Perth) Face to face
Content 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). Such real world data often present challenges to data scientist and data analysts. 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. While statistical theory can be helpful in analysing such data, its direct application may be limited by these practical problems. The best way to learn how to deal with these practical problems is to gain experience in analysing real data. This unit provides this experience by applying various statistical methods, through case studies and projects, to interesting practical problems rather than concentrating on the theory behind the methods.

The unit covers applications of a number of widely used statistical techniques selected from advanced regression topics (for example generalised linear models or nonlinear regression models), survival analysis, non-parametric statistics, multivariate analysis, and time series analysis. Furthermore, throughout the unit a large emphasis is placed on data visualisation techniques.
Outcomes Students are able to (1) produce appropriate high quality data visualisations using a variety of software packages and techniques; (2) apply statistical reasoning to analyse the essential structure of problems in various fields of darta science; (3) extend their knowledge of statistical modelling techniques and adapt known solutions to different situations; and (4) interpret and communicate results of a statistical analysis in a logical and coherent fashion.
Assessment Typically this unit is assessed in the following ways: (1) assignments; (2) tests; and (3) a final examination. Further information is available in the unit outline.

Supplementary assessment is only available in this unit in the case of a student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course
Unit Coordinator(s) Dr Alethea Rea
Unit rules
 Prerequisites: STAT1400 Statistics for Science or STAT1520 Economic and Business Statistics or MATH1002 Mathematical Methods 2 or MATH1020 Calculus, Probability and Statistics Incompatibility: STAT3406 Applied Statistics and Data Visualisation
Contact hours lectures: 3 hours per week; labs 1 hour per week
Unit Outlinehttp://www.unitoutlines.ecm.uwa.edu.au/Units/STAT4067/SEM-2/2017

• 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.
• Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.

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