Available in 2021
Course code



10 units


1000 level

Course handbook


How do we use data to make informed scientific decisions? This course introduces students to statistical thinking, data collection, data presentation and statistical analysis. Examples from a range of science related disciplines are used to illustrate the key concepts.

Although the emphasis is on applied data analysis rather than statistical theory, the course also provides an appropriate introduction for those students who intend to study statistics at a higher level.

Interested in studying further statistics courses to develop your skills and improve your employability? Information about available statistics courses can be found here: https://www.newcastle.edu.au/school/mathematical-and-physical-sciences/study/statistics-courses

Availability2021 Course Timetables


  • Semester 2 - 2021


  • Semester 2 - 2021

Learning outcomes

On successful completion of the course students will be able to:

1. Describe the role of statistics in developing scientific knowledge.

2. Explain how probability and sampling concepts relate to statistical analysis of data.

3. Apply basic principles of experimental design when collecting data.

4. Analyse data using common statistical software and interpret results to solve science related problems.


  • Introduction & overview of statistics in the sciences
  • Understanding variation and describing univariate data
  • Understanding bivariate relationships
  • Collecting data - surveys and experiments
  • Probability concepts
  • Statistical inference hypothesis tests and confidence intervals
  • Simple bivariate statistical models including regression and ANOVA

Assumed knowledge

Students who are not confident with their mathematics background are advised to complete MATH1001 Preparatory Studies in Mathematics before enrolling in STAT1070.

Note: Knowledge of calculus and matrices is not required.

Assessment items

Written Assignment: Assignments (x2)

Formal Examination: Examination

Quiz: Online Quiz (x6)

Contact hours

Callaghan and Ourimbah

Computer Lab

Face to Face On Campus 1 hour(s) per Week for Full Term

A minimum of 80% attendance for workshops and labs combined is compulsory to be able to take the final exam.


Face to Face On Campus 2 hour(s) per Week for Full Term

These contact hours are for delivery of the course in a semester term. For a summer/winter term the lectures may be delivered as face to face compressed in to the shorter term or blended with online lectures combined with face to face to face workshops.


Face to Face On Campus 1 hour(s) per Week for Full Term

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.