STAT3406 Applied Statistics and Data Visualisation

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 2UWA (Perth)Face to face
Details for undergraduate courses
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). 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.
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
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 not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 overall 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
Contact hours
lectures: 3 hours per week; labs 1 hour per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
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  • 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.