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.
Course materials, recommended text and other references
Lecture notes will be made available on the unit iLearn page (https://iLearn.mq.edu.au/).
Lohr, Sharon L (2019). Sampling: Design and Analysis, Second Edition, Boca Raton, FL : CRC Press, for Survey Design.
- Lawson, J. (2014). Design and Analysis of Experiments with R. Chapman and Hall/CRC, for Experiment Design;
These are available from the Co-Op Bookshop and the University library.
Other useful references (available in library Reserve):
Kuehl, R.O. (2000 or newer). Statistical Principles of Research Design and Analysis, Second edition, Duxbury Press.
Lindman HR (1992). Analysis of Variance in Experimental Design.
Montgomery DC. (2019). Design and Analysis of Experiments, 10th Edition, Wiley.
Neter J, Wasserman W and Kutner M. (2004). Applied Linear Statistical Models.
Scheaffer RL, Mendenhall W and Ott RL (1996). Elementary Survey Sampling, 5th (or newer) Edition.
Cochran WG (1977). Sampling Techniques.
Moser CA & Kalton G (1971). Survey Methods in Social Investigations.
Barnett V (1974). Elements of Sampling Theory.
Technology Used and Required
Software: We are using R through Rstudio in teaching this unit. R and Rstudio are free software and are widely used nowadays by statisticians. 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.