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Data collection and sampling methods. Designs for surveys of populations.
STAT312 and STAT455 are courses in survey methods, concentrating mainly on sample designs. The course is designed to give students an understanding of how to select samples from various types of populations of varying characteristics and produce population estimates along with measures of uncertainties in those estimates. Also you will gain some insights in the practical applications of the design of survey collections.
The Courses will: introduce data collection and sampling techniques introduce simple random sampling, stratified sampling and cluster sampling designs along with their strengths and weaknessesintroduce the use of the statistics software package R You will be able to:describe and conduct appropriate statistical sampling techniquesbe able to interpret the model results in such a way that a non-user of statistics can understanduse R competentlywrite a scientific and technical report
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
Biculturally competent and confident
Students will be aware of and understand the nature of biculturalism in Aotearoa New Zealand, and its relevance to their area of study and/or their degree.
Engaged with the community
Students will have observed and understood a culture within a community by reflecting on their own performance and experiences within that community.
Globally aware
Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.
15 points from STAT200-299 and a further 15 points from STAT200-299 or DATA200-299 the rationale is that this takes into account new pathways into the course from recent data offerings.
Students must attend one activity from each section.
Jennifer Brown
Richard Penny
Domestic fee $847.00
International fee $4,988.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mathematics and Statistics .