Statistical Practice 1
36 Hours
One Semester or equivalent
Hawthorn
Overview
This unit develops students’ understanding of a range of statistical methods along with their assumptions and limitations of their application. It enables students to develop the capacity to carry out independent statistical analysis of data using a standard statistical software package and also aims to develop students’ abilities in effectively communicating the outcomes of statistical investigations. In addition, it will provide a foundation and motivation for exposure to statistical ideas subsequent to the Graduate Certificate (GC) course.
Requisites
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Study Period 3
Location
Hawthorn
Start and end dates
26-August-2024
24-November-2024
24-November-2024
Last self-enrolment date
08-September-2024
Census date
16-September-2024
Last withdraw without fail date
11-October-2024
Results released date
17-December-2024
Study Period 3
Location
Hawthorn
Start and end dates
26-August-2024
24-November-2024
24-November-2024
Last self-enrolment date
08-September-2024
Census date
16-September-2024
Last withdraw without fail date
11-October-2024
Results released date
17-December-2024
Learning outcomes
Students who successfully complete this unit will be able to:
- Effectively display information in datasets graphically
- Select an appropriate descriptive or inferential statistical technique based on the researcher’s hypothesis, the level of measurement of the variables and testing of the appropriate assumptions to analyse the data
- Select appropriate IBM SPSS Statistics procedures, Java applets on the web and mathematical calculations, to obtain basic statistical test results, including confidence intervals and effect size statistics
- Explain the foundations of statistical inference, in particular the role of sampling distributions and the use of the normal distribution as a density curve
- Recognize when more advanced techniques are needed
- Write interpretive summary reports for both descriptive and inferential statistical analysis
Teaching methods
Hawthorn
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
Online Contact (Phasing out) Collaboration | 1.00 | 12 weeks | 12 |
Online Directed Online Learning and Independent Learning | 11.50 | 12 weeks | 138 |
TOTAL | 150 |
Hawthorn
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
Face to Face Contact (Phasing out) Lecture | 2.00 | 12 weeks | 24 |
Online Contact (Phasing out) Online Learning Activities | 1.00 | 12 weeks | 12 |
Specified Learning Activities (Phasing out) Various | 2.00 | 12 weeks | 24 |
Unspecified Learning Activities (Phasing out) Independent Learning | 7.50 | 12 weeks | 90 |
TOTAL | 150 |
Assessment
Type | Task | Weighting | ULO's |
---|---|---|---|
Assignment | Individual | 40% | 1,2,3,6 |
Examination | Individual | 50% | 2,3,4,5,6 |
Online Quiz | Individual | 10% | 2,4,5 |
Content
- Level of measurement
- Displaying and summarising categorical and metric data
- Describing the relationship between variables
- Correlation and causation
- Normal Distribution
- Sampling Distributions
- Confidence Intervals
- Hypothesis testing
- Statistical Inference for the mean
- t-tests for one sample, paired and independent data.
- Statistical Inference for the population coefficient.
- The chi-square test of independence
- Choosing the correct statistical test
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.