Statistical Practice 1
PostgraduateSWI-STA600012022
Course information for 2022 intake
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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- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Part of a degree
- Duration
- 13 weeks
- Loan available
- FEE-HELP available
Statistical Practice 1
About this subject
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
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).
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Entry requirements
Part of a degree
To enrol in this subject you must be accepted into one of the following degrees:
Core
- SWI-STA-GCE-2022 - Graduate Certificate of Applied Statistics
Elective
- OUA-PSU-GCE-2022 - Postgraduate Single Subjects
- UNE-PRO-GCE-2022 - Graduate Certificate in Professional Practice
Equivalent subjects
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)
Others
Some knowledge of basic statistics is assumed.
Additional requirements
- Other requirements -
- Additional materials
- Other special requirement — You will require access to a recent version of SPSS - at least the SPSS Grad Pak.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
Related degrees
Once you’ve completed this subject it can be credited towards one of the following courses
Graduate Certificate of Applied Statistics
PostgraduateSWI-STA-GCE
PostgraduateOUA-PSU-GCE
Graduate Certificate in Professional Practice
PostgraduateUNE-PRO-GCE