Statistical Foundations
Undergraduate
Undergraduate
MATH 2020
Undergraduate
No
100311
4.5
Yes
School of Information Technology and Mathematical Sciences
To introduce students to the mathematical theory underlying fundamental concepts and practice of statistics, and to applied probability problems, especially in actuarial science and finance.
The course covers probability, probability distributions and densities, mathematical expectation, special probability distributions and densities, functions of random variables and sampling distribution, introduction to hypothesis testing and point estimation.
Wackerly, D.D., Mendenhall, W. & Scheaffer R.L. 2008, Mathematical Statistics with Applications, 7th edition, Pacific Grove, CA
Assumed knowledge for this course is a thorough knowledge of first-year college calculus - including sum of infinite series, differentiation, and single and double integration. The statistical prerequisite is the knowledge on basic statistical methods, for instance the graphical and tabular way of presentation of data, estimation, hypothesis testing, and regression etc., which can be accessed through the course Statistical Methods.
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Lecture | 2 hours x 13 weeks | ||
Tutorial | 2 hours x 12 weeks | ||
INTERNAL, CITY WEST | |||
Lecture | 2 hours x 13 weeks | ||
Tutorial | 2 hours x 12 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Assignment, Examination, Quiz
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.