Statistical Data Analysis is an essential paper for anyone planning to do research or
experiments in their future studies or careers. The methodology given and applied in the
paper is used in many areas of scientific research, for example in medicine, business analysis,
sociological and policy research, engineering, and science. This is a practical paper
with an emphasis on real data and real problems. Extensive use is made of computing
through freely available statistical software.
The topics covered include data collection and organisation, graphical methods, analysis of
variance, regression and multivariate statistics. Students will need to take this paper in order
to study further papers in statistics at 300 level.
Official Timetable Information
STAT111 Statistics for Science or
STAT121 Introduction to Statisical Methods or
STAT160 Management Statistics
ECON204 Quantitative Methods for Economics and Finance
Contact hours: Three lectures and one tutorial each week.
Internal assessment/final examination ratio 1:1
Enrolled students can access resources for this paper on iWaikato under Moodle.
Introduction to the Practice of Statistics (7th edition) by Moore, McCabe and Craig
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