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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) and probability.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 and an additional 30 hours of study, revision and exam preparation. If you do this, records show you are most likely to pass the course.STAT101-25SU2 starts on Tuesday 26 November and Tutorial labs run on Tuesdays and Thursdays up to and including Thursday 11 December. There will be a Test on Thursday 11 December after the Tutorial that students must do on-campus. This is followed by a break from Friday 12 December. Tutorials will resume on Tuesday 6 January and run on Tuesdays and Thursdays until Thursday 29 December. The provisional date for the Exam is Friday 30 January 2026. The official course finish date is Sunday 8 February.This is an on-campus course. There are 5 hours per week of Tutorials scheduled (Tuesdays and Thursdays). This course cannot be taken by distance. You should expect to spend about 20 hours per week on the course. If you are taking a second summer course, the two courses are equivalent to a full-time workload.
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 basic statistical analyses with data, including summarising 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.IMPORTANT - DATA101 is NOT an equivalent course to STAT101. Please disregard this information provided below in the 'Equivalent Courses' section of this page.
STAT111, STAT112, DIGI103, DATA101
STAT111, STAT112, DIGI103
Students must attend one activity from each section.
Contact hours30 hours of tutorials.
David Rodda and Cameron Bell
Hilary Seddon and Speedy Jiang
The assessment for STAT101 is as follows:Assessment Tutorial Attendance (Best 10 of 14) 5%Orientation Quiz 1%Quizzes (8 x 3%) 24%Test 10%Assignment 10%Exam 50%
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 $897.00
International fee $5,188.00
* 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 .