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

• UNE-MTHS100-Introduction to Quantitative Skills

• UNE-CHEM100-Introductory Chemistry
• UNE-PHYS100-Introductory Physics

Additional requirements

• Equipment requirements - 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).
• Software requirements - 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.
• Travel requirements - Travel may be required to attend the Final Examination for this subject.
• Other requirements -

  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.

Assessments 1-3, 5, 6, 8-10: Online assignment (requires calculations). Must complete at least six of the eight online assignments and both written assignments. The best six online assignments and both written assignments count towards the final grade. Must obtain at least 40% overall for the assessments. Relates to Learning Outcomes: 1, 2, 3, 5 Assessment 4: 150 words. Written assignment (requires calculations and a report). Must complete at least six of the eight online assignments and both written assignments. The best six online assignments and both written assignments count towards the final grade. Must obtain at least 40% overall for the assessments. Relates to Learning Outcomes: 1, 2, 3, 4, 5 Assessment 7: 150 words. Written assignment (requires calculations and a report). Must complete at least six of the eight online assignments and both written assignments. The best six online assignments and both written assignments count towards the final grade. Must obtain at least 40% overall for the assessments. Relates to Learning Outcomes:LO: 1, 2, 3, 4, 5 Final Examination: 2 hrs 15 mins duration. Must obtain at least 40% in the Final Examination and obtain an overall passing grade. Relates to Learning Outcomes: 1, 3, 4 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.

• Assessments 1-3, 5, 6, 8-10 (20%%)
• Assessment 4 (15%%)
• Assessment 7 (15%%)
• Final Examination (50%%)

Current study term: 24 Oct 21 to 04 Feb 22

Next study term: 26 Jun 22 to 23 Sep 22