School Of Computing, Engineering And MathematicsStatistical Decision Making (WSTC)Western Sydney University Unit Code: 700041.6
Discipline: MATHEMATICAL SCIENCES
Student Contribution Band: 2
Level: 1
Credit Points: 10
Equivalent Units
200192 - Statistics for Science, 200263 - Biometry, 200032 - Statistics for Business, 200052 - Introduction to Economic Methods, 300700 - Statistical Decision Making, 700007 - Statistics for Business (WSTC), 700033 - Biometry (WSTC)
Incompatible Units
200182 - Quantitative Techniques
Prerequisite
Students enrolled in 7005 Diploma in Information and Communications Technology, 7041 Bachelor of Information and Communications Technology (WSTC First Year Program), 7067 Diploma in Information and Communications Technology Extended, 7083 Bachelor of Information and Communications Technology Extended (WSTC First Year Program), 7104 Diploma in Information and Communications Technology (Health Information Management), 7105 Bachelor of Information and Communications Technology (Health Information Management) (WSTC FYP), 7106 Diploma in Information and Communications Technology (Health Information Management) Extended or 7107 Bachelor of Information and Communications Technology (Health Information Management) Ext (WSTC FYP) must pass 700045 Statistics for Academic Purposes (WSTC Prep) before enrolling in this unit.
Unit Enrolment Restrictions
Students must be enrolled at Western Sydney University, The College.
Students enrolled in Extended Diploma courses (7067, 7083, 7106, 7107) must have passed 40 credit points in order to enrol in this unit.
Students enrolled in the combined Diploma/Bachelor courses listed below must pass all College Preparatory units listed in the course structure before progressing to the Year Two units.
About this Unit
Statistical Decision Making introduces students to various statistical techniques supporting the study of computing and science. Presentation of the content will emphasise the correct principles and procedures for collecting and analysing scientific data, using information and communication technologies. Topics include describing different sets of data, probability distributions, statistical inference and simple linear regression and correlation.