STATS22119A (HAM)
Statistical Data Analysis
15 Points
Staff
Convenor(s)
Steven Miller
6032
G.3.28
To be advised
steven.miller@waikato.ac.nz

Lecturer(s)
Paul Brown
5279
G.3.30
To be advised
paul.brown@waikato.ac.nz

Lyn Hunt
8338
G.3.21
To be advised
lyn.hunt@waikato.ac.nz

Steven Miller
6032
G.3.28
To be advised
steven.miller@waikato.ac.nz

Administrator(s)
Librarian(s)
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Paper Description
STATS221 extends the data collection and analysis techniques introduced in first year statistics courses. It is the gateway paper in the progression of frequentist statistics through to third year level. Students who pass this course will be prepared to cope with typical statistical problems in any field of research or practice.
The application of statistics is the primary focus of this course. Students will be taught to use the statistical software R to perform useful analyses, interpret the output and convey the results of such analyses. No prior experience with R is assumed.
Paper Structure
Learning Outcomes
Students who successfully complete the course should be able to:
Assessment
Assessment Components
The internal assessment/exam ratio (as stated in the University Calendar) is 50:50. The final exam makes up 50% of the overall mark.
Required and Recommended Readings
Recommended Readings
Other Resources
Additional material is taken from
Linear Statistical Models  Bruce Bowerman and Richard O'Connell
Online Support
Workload
Linkages to Other Papers
Prerequisite(s)
Prerequisite papers: At least one of STAT111, STAT121, STATS111, STATS121.
Restriction(s)
Restricted papers: STAT221