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.
- First semester 2019 (On-campus)
- Second semester 2019 (On-campus)
, VCE Mathematical methods 3 and 4, or equivalent international qualifications listed in the Unit Guide.
, , ETW1102, ETX1100, and MAT1097.
Note: students who have completed STA1010 cannot subsequently undertake.
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:
- Understand the key steps of the scientific method and how it can be applied to real problems that involve data analysis and interpretation;
- Appreciate how statistical data is collected, analysed and stored;
- Understand the meaning of population parameters such as mean, standard deviation, and median;
- Understand the importance of statistical techniques in the analysis of data;
- Present and interpret data graphically;
- Determine confidence intervals for population parameters, and distinguish between a population parameter and a sample statistic;
- Determine the appropriate statistical technique for a given context;
- Perform simple statistical operations using Excel;
- Take a random sample from a population and determine whether data fits a statistical hypothesis;
- Prepare and write a scientific report.
NOTE: From 1 July 2019, the duration of all exams is changing to combine reading and writing time. The new exam duration for this unit is 3 hours and 10 minutes.
End of semester examination (3 hours): 60% (Hurdle)
Continuous assessment: 40% (Hurdle)
Hurdle requirement: To pass this unit a student must achieve at least 50% overall and at least 40% for both the end-of-semester examination and continuous assessment components.
Three 1-hour lectures and one 2-hour applied class per week
See also Unit timetable information