STAT 193: Statistics for Natural and Social Sciences
2009 Trimester 1
STAT 193 | CRN 1791/11333, 15 Points (2009 1/3) | |
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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 |
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Lectures: | Mon Tue Fri 1-2 timetable | Mon Wed Thu 3-4 timetable |
Tutorials: | 1 hour per week, to be arranged, including:
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1 hour per week, to be arranged, including:
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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. |
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2009 Trimester 2
STAT 193 | CRN 4442/6164, 15 Points (2009 2/3) | |
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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 |
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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. |
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