Overview

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.

Offerings

S1-01-CLAYTON-ON-CAMPUS
S1-FF-CLAYTON-FLEXIBLE
S2-01-CLAYTON-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Associate Professor Jonathan Keith

Unit Coordinator(s)

Dr Daniel McInnes
Associate Professor Jonathan Keith

Notes

IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Learning outcomes

On successful completion of this unit, you should 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;

2.

Appreciate how statistical data is collected, analysed and stored;

3.

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

4.

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

5.

Present and interpret data graphically;

6.

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

7.

Determine the appropriate statistical technique for a given context;

8.

Perform simple statistical operations using Excel;

9.

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

10.

Prepare and write a scientific report.

Teaching approach

Active learning
Online learning

Assessment

1 - In-semester assessment
2 - Examination (3 hours and 10 minutes)

Scheduled and non-scheduled teaching activities

Applied sessions
Lectures

Workload requirements

Workload

Learning resources

Technology resources

Other unit costs

Costs are indicative and subject to change.

Electronics, calculators and tools:
Scientific non programmable calculator, approximately $30
Miscellaneous Items:
Course Reader, Printing, Stationery - $120.

Availability in areas of study

Applied mathematics
Financial and insurance mathematics
Mathematical statistics
Mathematics