Available in 2022
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



  • Summer 2 - 2022
  • Semester 1 - 2022
  • Semester 2 - 2022


  • Semester 2 - 2022

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

Summer offering: 2 or 3 1-hour Computer Labs per Week for a total of 11 Computer Labs across the Full Term.


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

Summer offering: 2 or 3 2-hour Lecture recordings per Week for a total of 12 Lectures across the Full Term.


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

Summer offering: 2 or 3 1.5-hour Tutorials per Week for a total of 11 Tutorials across the 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.