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An introduction to the ideas, techniques and applications of statistics and probability.
An introduction to the ideas, techniques and applications of statistics and probability. The emphasis is on applying statistics to problems, selecting sensible techniques, following the methodology and interpreting the results. Understanding the concepts and computer-based solutions are emphasised and applications to commerce, the social sciences, the humanities, science and engineering are considered. Particular topics include data analysis, summary statistics, probability, statistical distributions, estimation and inference (including confidence intervals, hypothesis tests and modelling).As this is a 15 point course students should expect to spend about 150 hours on the course (NZQA guidelines), which comes to 10 hours per week for a 12 week semester on average. If you do this, records show you are most likely to pass the course.
Students that complete STAT101 should leave the course with:A solid conceptual understanding of key statistical concepts and techniques.The ability and confidence to perform a basic statistical analyses with data, including summarizing data, visualising data and making statistical inferences.Experience using technology to perform statistical procedures.An understanding of the importance of data collection and its role in determining the scope of a statistical inference.The knowledge of which statistical methods to use in which situations and how to interpret their results in context.A solid statistical foundation for further study in statistics.
STAT111, STAT112, DIGI103
Students must attend one activity from each section.
Contact hours24 hours of lectures, 12 hours of examples classes, 12 hours of tutorials.
, Cameron Bell
, Jennifer Brown
and Mike Steel
To obtain a clear pass (≥ C-), you must obtain at least 50% overall and at least 40% in the final examination.Please see the STAT101 home page for the Course Outline to provide further details of the assessment.
Lock, Robin H. et al;
Statistics : unlocking the power of data;
Wiley, 2017 (The enhanced e-version contains many useful resources including video solutions to practice exercises, solutions to exercises with complete working and video tutorials for each section’s learning objectives).
General information for students
Domestic fee $788.00
International fee $4,438.00
* 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.