STATS 100 Concepts in Statistics

Below description edited in year: 2020

Points: 15

Restrictions: STATS 100 may not be taken with, or after passing, any other Statistics course. STATS 100 is not available to students who have 14 credits or more in Mathematics and Statistics at NCEA Level 3 or those who have passed Cambridge Mathematics A with an E or better, or Cambridge Mathematics AS with a D or better, or those who have passed International Baccalaureate Mathematics, or equivalent.

Credit: Final exam 30%; Tests 30%; Assignments & Quizzes 30%; Tutorial tasks 10% OR Final exam 40%; Tests 20%; Assignments & Quizzes 30%; Tutorial tasks 10%. Must obtain at least 45% in final exam to pass.

Textbooks: Learning materials will be distributed in class.

Website: STATS 100 website

The overall goal of STATS 100 is to increase both your confidence and your personal interest in Statistics and Data Science. So if you've done a little bit of Statistics study in the past or avoided it completely, and/or think Statistics is boring or difficult, then this course should convince you how awesome working with data really is! We will focus on how to use data to make decisions by integrating statistical and computational thinking. STATS 100 will develop your conceptual understanding of Statistics and Data Science through active participation in problems using real data, hands-on activities, group work and projects. The course makes full use of appropriate technology and prepares students for further study in Statistics, in particular STATS 101/STATS 108. STATS 100 covers similar material to NCEA Statistics but with a greater focus on visualisation, computation (including coding), data manipulation, and modelling approaches. The lectures, tutorials and labs are designed to be interactive and to build on each other over the course. If you are intending to study any subject that requires working with data, this course will help you build strong foundations in the science of learning from data.

Topics: Making predictions, conducting tests, building models, informing decisions.

Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2026) is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.