Technologies used and required
The unit is delivered by lectures (2 hours per week, starting in Week 1) and SGTAs (1 hour per week, starting in Week 2). All teaching material will be available on iLearn.
SGTA exercises will be available from iLearn prior to the SGTA. Students are expected to have attempted these prior to the SGTA. Solutions will be explained, with emphasis on any area students had trouble with. At the end of the week, these solutions will then be placed on iLearn. The web address is https://ilearn.mq.edu.au.
The R software (freely available online) will be used in the unit. Students need to practice how to use the software and be expected to use R for the assignment. Students should also note that the test and the final examination may contain inline R codes and output that students need to interpret to answer the questions.
Required and Recommended texts and/or materials
There is no required textbook for this unit. Students may benefit from having access to the following background reference for additional reading and problems:
“Mathematical Statistics with Applications” W Mendenhall, D Wackerly and R Scheaffer (6th or 7th edition) - library call number is QA276.M426.
The following books may also be useful background references:
ROSS, S. A First Course in Probability (QA273.R83)
SCHEAFFER, R. L. Introduction to Probability and Its Applications (QA273.S357)
SMITH, P. J. Into Statistics (QA276.S615)
FREUND, J. E. Mathematical Statistics (QA276.F692)
HOEL, P. Introduction to Mathematical Statistics (QA276.H57)
HOGG, R.V. & TANIS, E.A. Probability and Statistical Inference (QA273.H694)
LARSON, H. Introduction to Probability Theory and Statistical Inference (QA273.L352)
SPIEGEL, M.R., SRINIVASAN, J. & SCHILLER, J.J. Schaum's outline of theory and problems of probability and statistics (QA273.25.S64)
WALPOLE, R.E. & MYERS, R.H. Probability and Statistics for Engineers and Scientists (TA340.W35)
HOGG, R.V. & CRAIG, A.T. Introduction to Mathematical Statistics (QA276.H59)
CASELLA, G. & BERGER, R.L. Statistical Inference (QA276.C37)
At least one copy of each of these is available in the Library, and extra copies may be available on the shelves for borrowing purposes.
It should be understood that there are variations in notation (and even in definition) from one reference book to another, and that the lecture material alone defines recommended notation. Note that all lecture notes will be available in pdf form on the Unit website on iLearn before the lecture. You are required to bring a hard or soft copy of the lecture notes to lectures.