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.
• 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. 

Innovation in diverse scientific contexts, from livestock experiments to analysis of Martian soils, relies on statistics. Statistical methods are used universally to better understand the importance of observations and experiments, and to help us to investigate and explain the ways complex systems work. This subject offers you an opportunity to develop an introductory understanding of the fundamentals of statistics – invaluable whether you are interested in the life, environmental or physical sciences. Developing your statistical literacy through a combination of theory and hands-on exercises using statistical computing, you will learn how to present and interpret data for a common set of statistical methods.

Topics include exploratory data analysis, randomness associated with experimental data, statistical modelling, sampling, probability, regression, analysis of variance, and tests of significance.

Assessments 1 Online assignment (requires calculations). Must complete at least three of the four online assignments and both written assignments. The best three 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 2: Written assignment (requires calculations and a report). 150 words. Must complete at least three of the four online assignments and both written assignments. The best three 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 3: Written assignment (requires calculations and a report). 150 words. Must complete at least three of the four online assignments and both written assignments. The best three 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 (20%)
• Assessment 2 (15%)
• Assessment 3 (15%)
• Final Examination (50%)

Current study term: 23 Oct 22 to 03 Feb 23

Next study term: 25 Jun 23 to 06 Oct 23