Data Handling and Statistics 3 unit (KMA353)

Introduction

Data Handling and Statistics 3 is the third applied statistics units offered by the School of Natural Sciences (Mathematics). This unit is required in the Statistics and Decision Science major and it provides an extension of the concepts, methods and tools introduced in KMA253. It is a 'hands-on' course in which the emphasis is on the development of skills in the selection and application of upper-level statistical methodology. Emphasis is also placed on the presentation of statistical analyses in a written format that promotes reproducible research. Topics covered in the course include: hypothesis testing, experimental design, frequentist and Bayesian inference, analysis presentation, generalised linear modelling; mixed-effects modelling, multinomial regression, and model selection. Expertise with the statistical computing language R and RStudio will be extended, including the application of R Markdown for producing reproducible research. Examples will be drawn from the biological, physical and social sciences.

Summary

Unit name	Data Handling and Statistics 3
Unit code	KMA353
Credit points	12.5
College/School	Sciences and Engineering School of Natural Sciences
Discipline	Mathematics
Coordinator	Doctor Shane Richards
Available as an elective?	Yes
Delivered By	University of Tasmania
Level	Advanced

Availability

Specific information on 2027 unit availability will be available in August

Learning Outcomes

• Describe statistical approaches commonly adopted in the sciences.
• Apply statistical methods using the R programming language.
• Evaluate the validity of a statistical analysis.
• Interpret a statistical analysis in written format

Fee Information

2027 fee information will be available in August.

Requisites

Prerequisites

KMA253

Teaching

Teaching Pattern	Each week students will engage in 3 x 1-hr face-to-face recorded lectorials, and a 1 x 1-hr face-face computer lab session (not recorded).
Assessment	Tests (46%)|Projects (54%)
Timetable	View the lecture timetable | View the full unit timetable

Textbooks

Required	Required readings will be listed in the unit outline prior to the start of classes.
Recommended	Korner-Nievergelt, F., Roth, T., von Felten, S., Guélat, J., Almasi, B., Korner-Nievergelt, P. (2015) Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan. Academic Press.

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.