STAT2402 Analysis of Observations

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 2UWA (Perth)Face to face
Details for undergraduate courses
Content
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.
Outcomes
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.
Assessment
Typically this unit is assessed in the following ways: (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)
Dr Julie Marsh
Unit rules
Prerequisites:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1012 Mathematical Theory and Methods
or
MATH1020 Calculus, Probability and Statistics (students enrolled in the Master of Data Science may take one of these units as a co-requisite)
Incompatibility:
STAT2226 Statistical Models for Data
Contact hours
lectures: 3 hours per week; tutorials: 2 hours per week; labs: 1 hour per week
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