STATS 108 : Statistics for Commerce
Science
2025 Semester One (1253) (15 POINTS)
Course Prescription
The standard Stage I Statistics course for the Faculty of Business and Economics or for Arts students taking Economics courses. Its syllabus is as for STATS 101, but it places more emphasis on examples from commerce.
Course Overview
An ability to gain insight from data enables organisations and individuals to inform. their decisions, make predictions and generate new knowledge. Advances in technology allow us new ways of thinking and reasoning in the physical and social sciences, and inance. The purpose of this course is to introduce students to statistical investigation and analysis, and equip them with the skills and conidence needed to navigate the modern world of data.
This is a core course in all majors/pathways for Statistics. It is also a supporting course for many other subjects (e.g. Psychology, Economics, Finance, Mathematics, Computer Science, Geography, Biology, Sociology, …).
The course covers some material similar to NCEA statistics but at a higher level and more advanced material is also covered. While some Year 13 statistics or mathematics is helpful, we do not assume or require that you have any formal background in statistics or mathematics. If you have a limited background in mathematics, you may want to consider STATS 100 as an alternate course or as preparation before taking this course.
Course Requirements
Restriction: STATS 101, 102, 107, 191
Capabilities Developed in this Course
Capability 1: People and Place
Capability 2: Sustainability
Capability 3: Knowledge and Practice
Capability 4: Critical Thinking
Capability 5: Solution Seeking
Capability 6: Communication
Capability 7: Collaboration
Capability 8: Ethics and Professionalism
Graduate Profile: Bachelor of Science
Learning Outcomes
By the end of this course, students will be able to:
1. Recognise different purposes and motivations for making data-based decisions and the consequences of
those decisions for affected communities. (Capability 2 and 5)
2. Describe ethical, responsible, and culturally-responsive data practices, acknowledging Māori Data
Sovereignty. (Capability 1 and 8)
3. Use data generated from a range of sources, considering how decisions made affect its quality, diversity,
and quantity. (Capability 1 and 8)
4. Develop models using data, representations and critical reasoning, considering the applicability and
generalisability of models and model-based claims. (Capability 3)
5. Select and apply appropriate technology to analyse data, considering automated and reproducible
approaches. (Capability 4)
6. Produce written summaries that communicate the uncertainty associated with data, and interpret and
critique communications produced by others (Capability 6 and 7)
Assessments
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Assessment Type
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Percentage
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Classification
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Online tasks and quizzes
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30%
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Individual Coursework
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Online test
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20%
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Individual Coursework
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|
Final Exam
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50%
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Individual Examination
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3 types
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100%
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Assessment Type Learning Outcome Addressed
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1
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2
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3
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4
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5
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6
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Online tasks and quizzes
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Online test
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Final Exam
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A minimum of 45% is required in the exam to pass, in addition to a minimum of 50% in your overall mark.
Key Topics
. Module 1: Modern data technologies and responsibilities (Dataication, Classiication, Prediction, Randomisation)
. Module 2: Making and evaluating claims or decisions based on data (Estimation, Quantiication, Confirmation, Explanation)
. Module 3: Designing and communicating about data (Variation, Distribution, Regression, Generalisation)