# Statistical Practice 1 - 2016

To enrol in this unit, you must be accepted into a course from the provider. Read before you start

## Unit summary

### STA60001

• Delivery method: Fully Online
• Prerequisites: Yes
• Duration: 13 weeks
• Government loans available: FEE-HELP
• Availability for 2016: SP1 , SP3
• Availability for 2017: SP1 , SP3

Unit provided by

2016 Fees
AUD\$
Domestic 2,600.00
Domestic continuing 2,332.00
International 2,850.00
International continuing 2,582.00

2016 Swinburne tuition fees are reduced for continuing postgraduate students.

This unit of study aims to develop students’ understanding of a range of statistical methods, and the assumptions and limitations of their application. The unit also aims to develop students’ abilities in effectively communicating the outcomes of statistical investigations.

Please note: assessment values are indicative only, details will be advised at the start of the unit.

At the completion of this unit students will be able to:

1. Effectively display the information in datasets graphically
2. Choose from the list of basic statistical techniques covered, the appropriate descriptive or inferential statistical technique based on the researcher’s hypothesis, the level of measurement of the variables and the testing of the appropriate assumptions.
3. 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.
4. Develop understanding of the foundations of statistical inference, in particular the role of sampling distributions and the use of the normal distribution as a density curve.
5. Recognize when more advanced techniques are needed
6. Write interpretive summary reports for both descriptive and inferential statistical analysis
• Assignments (30%)
• Invigilated Exam (60%)
• Quizzes (10%)

#### Equivalent units

You cannot enrol in this unit if you have successfully completed any of the following unit(s) because they are considered academically equivalent:

• HMS770 — Statistical Practice 1

Some knowledge of basic statistics is assumed.

In order to enrol in this unit, you must be accepted into one of the following courses:

This unit addresses the following topics.

NumberTopic
1Displaying and summarising categorical data
2Summarising metric data
3(i) A categorical and metric variable
4(ii) Two metric variables
5(iii) Two categorical variables
6Correlation and causation
7Modelling the population distribution
8Calculation of normal percentages
9An empirical sampling distribution
10Theoretical sampling distributions
11Samples to populations
12Interval estimation
13Statistical inference for the mean
14Two paired samples inference for the mean
15Two independent samples inference for the mean
16Statistical inference for the population coefficient
17The chi-square test of independence
18Summary of statistical inference

This unit is delivered using the following methods and materials:

#### Instructional Methods

• Discussion Forum/Discussion Board
• Online Quizzes/Tests
• Online assignment submission

#### Print based materials

• Welcome Letter

#### Online materials

• Printable format materials

This unit is a core requirement in the following courses:

This unit may be eligible for credit towards other courses:

1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Co-Op textbook list.
This unit does not have a prescribed textbook(s).

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