Overview

The aim of this unit is to help students develop the capacity to carry out independent statistical investigation, together with an awareness of the assumptions and limitations involved with the generalisation of the results of such investigations.

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Pathways Teaching 3
Location
Hawthorn
Start and end dates
20-October-2025
30-January-2026
Last self-enrolment date
02-November-2025
Census date
14-November-2025
Last withdraw without fail date
12-December-2025
Results released date
10-February-2026
Pathways Teaching 1
Location
Hawthorn
Start and end dates
23-February-2026
29-May-2026
Last self-enrolment date
08-March-2026
Census date
24-March-2026
Last withdraw without fail date
14-April-2026
Results released date
09-June-2026
Pathways Teaching 2
Location
Hawthorn
Start and end dates
22-June-2026
25-September-2026
Last self-enrolment date
05-July-2026
Census date
21-July-2026
Last withdraw without fail date
11-August-2026
Results released date
06-October-2026
Pathways Teaching 3
Location
Hawthorn
Start and end dates
19-October-2026
29-January-2027
Last self-enrolment date
01-November-2026
Census date
17-November-2026
Last withdraw without fail date
15-December-2026
Results released date
09-February-2027

Unit learning outcomes

Students who successfully complete this unit will be able to:
 

  1. Understand the importance of statistical techniques in the analysis of data
  2. Identify the level of measurement of a variable, appropriate sampling methods, and research design of a study
  3. Use appropriate statistical summaries to explore data and visualise the data distributions
  4. Estimate population parameters (proportions, means) using appropriate statistics and confidence intervals
  5. Select and conduct appropriate hypothesis tests for different population parameters
  6. Make statistical decisions and interpret, communicate research results

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Live Online
(Lecture)		 2 12 weeks  24
On-campus
(Class)		 2 12 weeks  24
On-campus
(Laboratory)		 2 12 weeks  24
Unspecified Learning Activities
(Independent Learning)		 6.5 12 weeks  78
TOTAL     150

NCHS - Colombo

Type Hours per week Number of weeks Total (number of hours)
On-campus
(Lecture)		 2 12 weeks  24
On-campus
(Class)		 2 12 weeks  24
On-campus
(Laboratory)		 2 12 weeks  24
Unspecified Learning Activities
(Independent Learning)		 6.5 12 weeks  78
TOTAL     150

Assessment

Type Task Weighting ULOs
Case Analysis Individual  40%  1,2,3,4,5,6
Test Individual  20%  1,2,3,6
Online Tests Individual  40%  1,2,3,4,5,6

Content

  • Making sense of data
  • Exploring relationships
  • Gathering data
  • The normal distribution
  • Sampling distributions
  • Inference using a single variable
  • Inference using two variables

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.