STATS 7057 - Sampling Theory and Practice
Career: | Postgraduate Coursework |
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Units: | 3 |
Term: | 3720 |
Campus: | North Terrace |
Contact: | Up to 3 hours per week |
Available for Study Abroad and Exchange: | Yes |
Available for Non-Award Study: | Yes |
Assumed Knowledge: | STATS 2107 or (MATHS 2201 and MATHS 2202) or (MATHS 2106 and (MATHS 2107).Experience with the statistical package R such as would be obtained from STATS 1005 or STATS 2107 |
Assessment: | Ongoing assessment, examination |
Biennial Course: | Course offered in odd years |
Syllabus: |
Sample surveys are an important source of statistical data. A great many published statistics on demographic, economic, political and health related characteristics are based on survey data. Simple random sampling is a well known method of sampling but, for reasons of efficiency and practical constraints, methods such as stratified sampling and cluster sampling are typically used by statistical authorities such as the Australian Bureau of Statistics and by market research organisations. This course is concerned with the design of sample surveys and the statistical analysis of data collected from such surveys. Topics covered are: experiments and surveys, steps in planning a survey; randomisation approach to sampling and estimation, sampling distribution of estimator, expected values, variances, generalisation of probability sampling; prediction approach, inadequacies of approach, decomposition of population total, concomitant variables; regression through the origin, estimation by least squares, ratio estimation, variance formulae; balance and robustness; best fit sample; stratified sampling, estimation, allocation, construction of strata, stratification on size variables, post-stratification; two-stage sampling, estimation, allocation, cluster sampling. |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
EFTSL | |||
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0.125 |
Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
Critical Dates
Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
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3720 | Mon 07/08/2017 | Thu 31/08/2017 | Fri 15/09/2017 | Fri 27/10/2017 |
Class Details
Enrolment Class: Lecture | |||||||
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Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
22662 | LE01 | 10 | 8 | 24 Jul - 11 Sep | Monday | 12pm - 1pm | Napier, G03, Lecture Theatre |
27 Jul - 14 Sep | Thursday | 12pm - 1pm | Mawson, G19, Mawson Lecture Theatre | ||||
2 Oct - 23 Oct | Monday | 12pm - 1pm | Napier, G03, Lecture Theatre | ||||
5 Oct - 26 Oct | Thursday | 12pm - 1pm | Mawson, G19, Mawson Lecture Theatre | ||||
Related Class: Practical | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
22663 | PR01 | 10 | 8 | 27 Jul - 14 Sep | Thursday | 4pm - 5pm | Engineering & Mathematics, EMG13, Computer Suite |
5 Oct - 26 Oct | Thursday | 4pm - 5pm | Engineering & Mathematics, EMG13, Computer Suite | ||||
Related Class: Tutorial | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
22664 | TU01 | 10 | 8 | 28 Jul - 15 Sep | Friday | 4pm - 5pm | Schulz, 307, Teaching Room |
6 Oct - 27 Oct | Friday | 4pm - 5pm | Schulz, 307, Teaching Room |