STATS 108: Statistics for Commerce 2025 Semester OneJava

Java Python 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

Assessment Type	Percentage	Classification
Online tasks and quizzes	30%	Individual Coursework
Online tesdai 写STATS 108: Statistics for Commerce 2025 Semester OneJava t	20%	Individual Coursework
Final Exam	50%	Individual Examination
3 types	100%

 

Assessment Type                                                           Learning Outcome Addressed
	1	2	3	4	5	6
Online tasks and quizzes	√	√	√	√	√	√
Online test	√	√	√	√		√
Final Exam	√	√	√	√		√

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)