Introduction to Statistical Modelling

• • Topics will be available to enrolled students in the subjects moodle site approximately one week prior to the commencement of the teaching period.

You must have successfully completed the following subject(s) before starting this subject:

UNE-SCI100-Science in Practice
and
UNE-MTHS100-Introduction to Quantitative Skills
and
UNE-CHEM100-Introductory Chemistry , or UNE-PHYS100-Introductory Physics

Special requirements

• EquipmentDetails - Headphones or speakers (required to listen to lectures and other media) Headset, including microphone (highly recommended) Webcam (may be required for participation in virtual classrooms and/or media presentations).
• SoftwareDetails - Please refer students to link for requirements: http://www.une.edu.au/current-students/support/it-services/hardware It is essential for students to have reliable internet access in order to participate in and complete your units, regardless of whether they contain an on campus attendance or intensive school component.
• TravelDetails - Travel may be required to attend the Final Examination for this subject.
• OtherDetails -

  Textbook information is not available until approximately 8 weeks prior to the commencement of the Teaching period. 
  Students are expected to purchase prescribed material. 
  Textbook requirements may vary from one teaching period to the next. 

Many advances in modern science, ranging from livestock experiments to analysis of Martian soils, rely on statistical methods that link observation or experiment to a better understanding of how complex systems work. In this introductory subject, students both develop statistical literacy and learn how to present and interpret data for a common set of statistical models.

Topics include exploratory data analysis, randomness associated with experiment data, statistical modelling, sampling, probability, regression, analysis of variance, and tests of significance. Statistical computing forms an integral part of the subject. The R statistical software will be supplied.

Online students should have access to freeware statistical packages R and RStudio. Online assessment may require RStudio statistical software use and calculations. The best six online assessments and both written assessments count towards the final grade. Both of the written assessments must be submitted. Must obtain at least 40% overall for the assessments. Final Examination: 2 hrs 15 mins duration. Relates to Learning Outcomes: 1-5 UNE manages supervised exams associated with your UNE subjects. Prior to census date, UNE releases exam timetables. They’ll email important exam information directly to your UNE email address.

• Assessment 1 (5%%)
• Assessment 2 (5%%)
• Assessment 3 (5%%)
• Assessment 4 (10%%)
• Assessment 5 (5%%)
• Assessment 6 (5%%)
• Assessment 7 (5%%)
• Assessment 8 (10%%)
• Assessment 9 (5%%)
• Assessment 10 (5%%)
• Final Examination (50%%)

Click on the titles of the listed books below to find out more: