MODELS FOR DATA ANALYSIS
Credit points: 15
The analysis of scientific, engineering and economic data makes extensive use of probability models. This subject describes the most basic of these models and their properties. Specific topics covered in this subject include a wide range of discrete and continuous univariate distributions; joint distributions; conditional expectation; mean and variance of linear combinations of random variables; Chebyshev's inequality; moment generating functions; the law of large numbers; the Central Limit Theorem. To help students with little or no previous knowledge in calculus one lecture per week consists of "calculus for statistics".
FacultyFaculty of Science, Tech & Engineering
Subject Co-ordinatorKatherine Seaton
Available to Study Abroad StudentsYes
Subject year levelYear Level 2 - UG
Prerequisites For student enrolled in course SVCSE or SHCSY: MAT1CPE or MAT1NLA. For all other students: STA1SS or STA1LS or STA1PSY or ECO1ISB or MAT1CDE or MAT1CLA.
Incompatible subjects STA2MDA
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Melbourne, 2014, Semester 2, Day
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorKatherine Seaton
One 1.0 hours practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
|One 2.5-hour examination||80|
|Ten assignments (2-3 pages each)||20|