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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).This is a 15 point course so you should spend about 150 hours on the course (NZQA guidelines). The summer occurrence is condensed into 6 weeks. We recommend 20 hours per week on average and additional time for revision and examination preparation. 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
Contact hours30 hours of tutorials.
David Rodda and Cameron Bell
Cameron Bell , David Rodda and Hilary Seddon
Speedy Jiang
To obtain a clear pass (≥ C-), you must obtain at least 50% overall and at least 50% 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 ; Second edition; 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 Library portal LEARN
Domestic fee $802.00
International fee $4,563.00
* 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 .