TFCSTATS 92F : Foundation Statistics


2024 Semester Two (1245) (15 POINTS)

Course Prescription

Provides an introduction to statistics for anyone who will ever have to collect, analyse or interpret data, either in their career or private life. Statistical skills will be developed through Exploratory Data Analysis of real data using appropriate technology and statistical techniques. An important aspect of the course will involve communication of results.

Course Overview

This is a one-semester course designed for students who at present lack the necessary background for tertiary courses in statistics. Some knowledge of basic material found in  TFCMATHS  91F is expected. The course focuses on the development of statistical skills and concepts using appropriate software tools. The aim is to build confidence and foster enjoyment in statistics, as well as to provide preparation for further studies, such as STATS 101 and STATS 108. Some of the material will overlap with the content covered in STATS 100. The focus will be on the evaluation and interpretation of statistics produced by technology rather than the calculation of specific statistics. Critical evaluation of statistics in the media will be developed throughout the course.

Course Requirements

No pre-requisites or restrictions

Capabilities Developed in this Course

Capability 3: Knowledge and Practice
Capability 4: Critical Thinking
Capability 5: Solution Seeking
Capability 6: Communication
Capability 7: Collaboration

Learning Outcomes

By the end of this course, students will be able to:
  1. Analyse and evaluate media reports about experiments, observational studies, polls and surveys (Capability 3, 4, 6 and 7)
  2. Develop and demonstrate statistical software skills using spreadsheets, CODAP and iNZight (Capability 3, 4, 5, 6 and 7)
  3. Develop and demonstrate good techniques for exploratory data analysis using appropriate software tools (Capability 3, 4, 5, 6 and 7)
  4. Evaluate linear relationships and develop linear models using regression techniques (Capability 3, 4, 5, 6 and 7)
  5. Describe and explain the difference between correlation and causation (Capability 3, 4, 6 and 7)
  6. Discover and develop an understanding of time series using appropriate software tools (Capability 3, 4, 5 and 6)


Assessment Type Percentage Classification
Final Exam 40% Individual Examination
Quizzes 8% Individual Coursework
Tests 14% Individual Test
Assignments 12% Individual Coursework
Coursework 22% Group Coursework
Practical 4% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4 5 6
Final Exam

Students must achieve at least 35% in the Final Exam in order to pass this course.


Tuākana Science is a multi-faceted programme for Māori and Pacific students providing topic specific tutorials, one-on-one sessions, test and exam preparation and more. Explore your options at

Please note: the Department of Statistics Tuakana tutors do not provide support for students in this course.

Key Topics

  • Evaluation of statistical reports
  • Introduction to software skills
  • Exploratory data analysis
  • Regression and Correlation

Workload Expectations

This course is a standard 15 point course and students are expected to spend 150 hours per semester in each 15 point course that they are enrolled in.

For this course, a typical weekly workload includes:

  • 2 hours of lectures
  • 2 hours of tutorials
  • 1 hour of online activities
  • 2 hours of reviewing the course content
  • 3 hours of work on assignments and/or test preparation

In addition, there will be up to 4 optional help sessions that students may attend.

Delivery Mode

Campus Experience

Attendance is expected at scheduled activities including lectures, tutorials and all assessments including tests, exams and collaborative activities. 
Lectures will be available as recordings, provided the timetabled room has recording facilities. Other learning activities including tutorials will not be available as recordings.

The activities for the course are scheduled as a standard weekly timetable.

Learning Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Course Resources:
  • The coursebook, worksheets, PowerPoint lecture slides, datasets and podcasts are all provided via Canvas
Recommended Reading:
  • If students want additional information they are directed to "Chance Encounters: A first course in data analysis and inference", by Wild & Seber

Student Feedback

During the course Class Representatives in each class can take feedback to the staff responsible for the course and staff-student consultative committees.

At the end of the course students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback.

Your feedback helps to improve the course and its delivery for all students.

TFC appoints student representatives for the whole programme rather than for individual courses.
Student feedback is appreciated, and changes to the course work structure were made as a result this year.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed for potential plagiarism or other forms of academic misconduct, using computerised detection mechanisms.

Class Representatives

Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.

TFC appoints Student Representatives for the whole programme rather than for individual courses.


The content and delivery of content in this course are protected by copyright. Material belonging to others may have been used in this course and copied by and solely for the educational purposes of the University under license.

You may copy the course content for the purposes of private study or research, but you may not upload onto any third party site, make a further copy or sell, alter or further reproduce or distribute any part of the course content to another person.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption, we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and course assessment continues to meet the principles of the University’s assessment policy. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator/director, and if disruption occurs you should refer to the university website for information about how to proceed.

The delivery mode may change depending on COVID restrictions. Any changes will be communicated through Canvas.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter


Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course students may be asked to submit coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. In exceptional circumstances changes to elements of this course may be necessary at short notice. Students enrolled in this course will be informed of any such changes and the reasons for them, as soon as possible, through Canvas.

Published on 31/10/2023 10:54 a.m.