STAT2402 Analysis of Observations

6 points
(see Timetable)
Semester 2UWA (Perth)Face to face
Details for undergraduate courses
  • Level 2 complementary unit in the Data Science major sequence
  • The area of knowledge for this unit is Mathematical and Physical Sciences
  • Category A broadening unit for Bachelor of Science students where relevant according to the broadening requirements for each student
  • Level 2 elective
Many real-world problems involve analysing data sets that are not normally distributed. For example, binomial data in the form of presence/absence recordings, Poisson data measured as counts of rare events such as car accidents, Gamma data for measurements of rainfall and Weibull data for the expected lifetimes of machinery. This unit provides experience in analysing such observations. The majority of the unit concentrates on the presentation and analysis of such data sets. Generalised Linear Models (GLMs) are used to incorporate explanatory variables into the analyses. In developing these skills students are trained in an appropriate statistical software package. The unit also provides a rudimentary understanding of probability and statistics necessary for applying the likelihood theory for estimating these models.
Students are able to (1) demonstrate their knowledge of fundamental concepts in probability and statistics; (2) apply statistical models to real-world problems for data that are not normally distributed; (3) use computer package(s) for fitting such models to data; and (4) communicate the results of these analyses effectively to non-statisticians.
Indicative assessments in this unit are as follows: (1) two assignments and (2) 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)
Associate Professor Serena Dipierro
Unit rules
STAT1400 Statistics for Science
STAT1520 Economic and Business Statistics
MATH1002 Mathematical Methods 2
MATH1012 Mathematical Theory and Methods
MATH1020 Calculus, Probability and Statistics (students enrolled in the Master of Data Science may take one of these units as a co-requisite)
Contact hours
lectures: 3 hours per week; practical classes: 2 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.
  • 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 via the Booktopia Textbook Finder, which has the functionality to search by course code, course, ISBN and title, and may also be posted or available at the appropriate school's administrative offices. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.