Statistical Practice 1
Develop a number of statistical data techniques; assess theories and survey limitations. Increase analysis skills and translate investigation outcomes. Recognise statistical inference and sampling distributions. Transcribe interpretative summaries.
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- 28 Aug 2023
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- Enrolling and eligibility
- Fee and loan information
- Credit and recognition for prior learning
Students who successfully complete this subject 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.
- 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
You should not enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:
- SWI-HMS770 (Not currently available)
Some knowledge of basic statistics is assumed.
- Other requirements -
- Additional materials
- Other special requirement — You will require access to a recent version of SPSS - at least the SPSS Grad Pak.
This subject 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) degree.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Final Assessment (TBC) (50%)
- Quizzes — Online (10%)
- Assignments — 2 (40%)
For textbook details check your university's handbook, website or learning management system (LMS).