Statistical Models (STAT2011)

UNIT OF STUDY

This unit provides an introduction to univariate techniques in data analysis and the most common statistical distributions that are used to model patterns of variability. Common discrete random models like the binomial, Poisson and geometric and continuous models including the normal and exponential will be studied. The method of moments and maximum likelihood techniques for fitting statistical distributions to data will be explored. The unit will have weekly computer classes where candidates will learn to use a statistical computing package to perform simulations and carry out computer intensive estimation techniques like the bootstrap method.

Further unit of study information

Classes

Three 1 hour lectures, one 1 hour tutorial and one 1 hour computer laboratory week.

Assessment

One 2 hour exam, assignments and/or quizzes, and computer practical reports (100%)

Faculty/department permission required?

No

Unit of study rules

Prerequisites and assumed knowledge

(MATH1001 or MATH1901 or MATH1906 or MATH1011) and (MATH1005 or MATH1905 or MATH1015 or STAT1021 or ECMT1010 or BUSS1020)

Prohibitions

STAT2001, STAT2901, STAT2911

Study this unit outside a degree

Non-award/non-degree study

If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.

Cross-institutional study

If you are from another Australian tertiary institution you may be permitted to underake cross-institutional study in one or more units of study at the University of Sydney.