# Basic Statistical Computing Using R - 2018

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

## Unit summary

### STA60003

• Delivery method: Fully Online
• Prerequisites: Yes
• Duration: 13 weeks
• Government loans available: FEE-HELP
• Availability for 2017: SP1 , SP3
• Availability for 2018: SP1 , SP3
• Assessment: Assignments - 2 (40%) , Invigilated Exam (50%) - Learn more

Unit provided by

2018 Fees
AUD\$
Domestic 2,830.00
Domestic continuing 2,620.00
International 3,080.00
International continuing 2,870.00

Tuition fees are reduced for continuing registered SWI students.

This unit introduces R, one of the popular open source statistical programming languages commonly used in applied statistics and data science disciplines. Students will learn key programming principles of R and develop competence in programming in R which are essential for a statistician or data scientist to perform different types of statistical analyses.

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

Students who successfully complete this unit will be able to:

1. Perform basic programming using R within the RStudio environment
2. Demonstrate ability to write user-defined R programming functions
3. Visualise data graphically using R
4. Write R programs to conduct hypothesis testing and compare means using R
5. Simulate data from different probability distributions.
6. Perform simple linear regression using R
7. Analyse categorical data using R.
• Assignments — 2 (40%)
• Invigilated Exam (50%)
• Quizzes — Online 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:

• HMS772 — Basic Statistical Computing

EQUIVALENT UNIT: This unit was formerly known as STA60003 Basic Statistical Computing

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

This unit addresses the following topics.

NumberTopic
1Introduction to R and RStudio
2R data types and basic syntax
3Principles of programming - pseudo-code, comment, structures
4Programming basics - functions, algorithms, loops
5Data summaries and graphics
6Hypothesis testing and comparison of means
7Probability distributions and simulation in R
8Simple linear regression
9Categorical data analysis

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 is part of a major, minor, stream or specialisation 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).

### Enquire online

Need to ask a question that's best put down in words?
Make an online enquiry.