Introductory Statistics

Applied statistics emphasising applications in the sciences and social sciences. Use of graphs and numbers to summarise and interpret data; data collection with surveys and experiments; elementary probability and sampling distributions to describe variability; inference for means, proportions, contingency tables and regression.

Course code

Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.



The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).



Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.




Course planning information

Course notes

Students will need to use approved statistical software for analysis of data. A reasonably fast internet connection is also required for sitting online tests. All students must have a good grounding in basic maths. Not sure? Try our basic numeracy quiz http://www.mymassey.com/MathsFirst

To pass, students must achieve a minimum of 30% in the Final Exam.

Expected prior learning

Students should have a good grounding in basic maths. It is strongly recommended that students have achieved a total of at least 20 credits from NCEA Mathematics and Statistics at Level 2. A self-test quiz is available here: basic numeracy quiz.


Choose just one
115101, 161100, 161101, 161130, 161140

The courses listed above have similar content to this one meaning you can only enrol in this course or one of the listed courses. Only one of the courses can be credited towards your qualification.

Learning outcomes

What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.

  • 1 Choose graphical and numerical summaries of a batch of values and use them to answer questions about variability in the data.
  • 2 Summarise the relationship between two numerical or categorical variables.
  • 3 Critically examine data collected by others and the conclusions that they draw.
  • 4 Effectively present the information that you extract from data to others.
  • 5 Collect data with surveys and experiments to help answer real-life questions.
  • 6 Use distributions and sampling to model variability in data.
  • 7 Estimate population characteristics with confidence intervals. These characteristics include means, proportions, differences between means, differences between proportions, regression slopes and predictions from regression lines.
  • 8 Use hypothesis tests to assess whether there are differences between groups or relationships between variables.

Learning outcomes can change before the start of the semester you are studying the course in.


Assessment Learning outcomes assessed Weighting
Test 1 2%
Test 2 2%
Test 6 2%
Written Assignment 1 2 4 5 12%
Written Assignment 3 4 6 7 8 12%
Written Assignment 4 6 7 8 12%
Exam (centrally scheduled) 1 2 3 4 6 7 8 58%

Assessment weightings can change up to the start of the semester the course is delivered in.

You may need to take more assessments depending on where, how, and when you choose to take this course.

Explanation of assessment types

Computer programmes
Computer animation and screening, design, programming, models and other computer work.
Creative compositions
Animations, films, models, textiles, websites, and other compositions.
Exam College or GRS-based (not centrally scheduled)
An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
Exam (centrally scheduled)
An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
Oral or performance or presentation
Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
Creative, learning, online, narrative, photographic, written, and other portfolios.
Practical or placement
Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
Technology-based or experience-based simulations.
Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
Written assignment
Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.

Course delivery details

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