Faculty of Science

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6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.



Organisational Unit

School of Mathematical Sciences


Associate Professor Jonathan Keith (Clayton); Dr. Chen Won Sun (Malaysia)



  • First semester 2016 (Day)
  • Second semester 2016 (Day)


  • First semester 2016 (Day)


Descriptive statistics, scatter plots, correlation, line of best fit. Elementary probability theory. Confidence intervals and hypothesis tests using normal, t and binomial distributions. Use of computer software. Formal treatment of statistical analyses and the role of probability in statistical inference.


On completion of this unit students will be able to:

  1. Understand the key steps of the scientific method and how it can be applied to real problems that involve data analysis and interpretation;

  1. Appreciate how statistical data is collected, analysed and stored;

  1. Understand the meaning of population parameters such as mean, standard deviation, and median;

  1. Understand the importance of statistical techniques in the analysis of data;

  1. Present and interpret data graphically;

  1. Determine confidence intervals for population parameters, and distinguish between a population parameter and a sample statistic;

  1. Determine the appropriate statistical technique for a given context;

  1. Perform simple statistical operations using Excel;

  1. Take a random sample from a population and determine whether data fits a statistical hypothesis;

  1. Prepare and write a scientific report.


Final examination (3 hours): 70%
Assignments, laboratory exercises and tests: 30%.

Workload requirements

Three 1-hour lectures and one 2-hour support class per week

See also Unit timetable information

Chief examiner(s)

This unit applies to the following area(s) of study


SCI1020, VCE Mathematical methods 3 and 4, or equivalent international qualifications listed in the Unit Guide.


ETC1000, ETW1000, ETW1102, ETX1100, FIT1006 and MAT1097.
Note: students who have completed STA1010 cannot subsequently undertake SCI1020.