STAT 193: Statistics for Natural and Social Sciences

2009 Trimester 1

STAT 193 CRN 1791/11333, 15 Points (2009 1/3)
  Stream A (CRN 1791) Stream B (CRN 11333)
Coordinator: Prof Richard Arnold
Prof Richard Arnold
Lecturer: AProf Ivy Liu
Dr Nokuthaba Sibanda
AProf Ivy Liu
Prof Shirley Pledger
Dr Dong Wang
Senior Tutor: Nazrina Aziz
Lisa Lankshear
Raymond Tobler
Haizhen Wu
Lectures: Mon Tue Fri 1-2 timetable Mon Wed Thu 3-4 timetable
Tutorials: 1 hour per week, to be arranged, including:
Ten hours per week of help sessions (to be advised) will be available for individual assistance.
1 hour per week, to be arranged, including:
Ten hours per week of help sessions (to be advised) will be available for individual assistance.
Restrictions: QUAN 102, STAT 231
Assignments: An alternation of ordinary and practical data assignments
Assessment: Either 10% test, 15% project assignments, 75% final exam, or 100% final exam, whichever is greater
Course Materials: An appropriate scientific calculator will be needed. A Casio fx-82 TL or fx-82 MS is acceptable, cost approximately $25.
Textbook: Clark, M.J. and Randal, J.A., A First Course in Applied Statistics: with applications in biology, business and social sciences, Pearson, 2004, cost approximately $60.
Prescription: An applied statistics course for students who will be advancing in other disciplines as well as those majoring in Applied Statistics. It is particularly suitable for students majoring in Biological Science subjects, Geography, Linguistics, Psychology and social sciences such as Education. Stream 2 in each trimester is tailored for students taking BCA subjects.
Description:

This course assumes no previous knowledge of Statistics, but school Mathematics to Year 12 level is the preferred entry requirement. Students with a weaker mathematical background can do well though, provided they are prepared to do sufficient work.

STAT 193 gives a first introduction to statistics aimed primarily for students intending to major in Applied Statistics, the biological or social sciences, especially Psychology or to work in social policy research or applied statistics. Topics covered include estimation and comparison of means and proportions, simple regression and correlation, analysis of variance, and nonparametric techniques. The course includes a linked series of practical assignments, in which each student has their own data set and applies an increasing range of techniques to discover some of its principal features.

Home Page 

2009 Trimester 2

STAT 193 CRN 4442/6164, 15 Points (2009 2/3)
  Stream A (CRN 4442) Stream B (CRN 6164)
Coordinator: Prof Richard Arnold
Prof Richard Arnold
Lecturer: Dr Yuichi Hirose
Dr Nokuthaba Sibanda
Dr Yuichi Hirose
Dr Dong Wang
Senior Tutor: Lisa Lankshear
Kemmawadee Preedalikit
Raymond Tobler
Haizhen Wu
Lectures: Mon Wed Fri 1-2 timetable Mon Wed Fri 4-5 timetable
Restrictions: QUAN 102, STAT 231
Assignments: An alternation of ordinary and practical data assignments
Assessment: Either 10% test, 15% project assignments, 75% final exam, or 100% final exam, whichever is greater
Course Materials: An appropriate scientific calculator will be needed. A Casio fx-82 TL or fx-82 MS is acceptable, cost approximately $25.
Textbook: Clark, M.J. and Randal, J.A., A First Course in Applied Statistics: with applications in biology, business and social sciences, Pearson, 2004, cost approximately $60.
Prescription: An applied statistics course for students who will be advancing in other disciplines as well as those majoring in Applied Statistics. It is particularly suitable for students majoring in Biological Science subjects, Geography, Linguistics, Psychology and social sciences such as Education. Stream 2 in each trimester is tailored for students taking BCA subjects.
Description:

This course assumes no previous knowledge of Statistics, but school Mathematics to Year 12 level is the preferred entry requirement. Students with a weaker mathematical background can do well though, provided they are prepared to do sufficient work.

STAT 193 gives a first introduction to statistics aimed primarily for students intending to major in Applied Statistics, the biological or social sciences, especially Psychology or to work in social policy research or applied statistics. Topics covered include estimation and comparison of means and proportions, simple regression and correlation, analysis of variance, and nonparametric techniques. The course includes a linked series of practical assignments, in which each student has their own data set and applies an increasing range of techniques to discover some of its principal features.

Home Page 

View next year >