Inferential Statistics And Computing
This course covers basic statistics concepts such as collecting data, summarizing and displaying data, measures of central tendency, analyzing data and interpreting results including hypothesis testing where we look to reject or accept the null hypothesis.
This course introduces students to the basic ideas of statistics that will act as a foundation for other course units that require some statistical background. It is important for researchers as well as consumers of research to understand statistics so that they can be informed, evaluate the credibility and usefulness of information, and make appropriate decisions.
By the end of this course, the student should be able to:
Summarise, organize and present data numerically and graphically
Apply some sampling techniques
Apply appropriate tests to different datasets
A student completing the course is expected to demonstrate knowledge in:
Planning, conducting, and reporting on environmental investigations, including the use of secondary data.
Collecting, recording and analysing data using appropriate techniques in the field and laboratory.
Referencing work in an appropriate manner.
Collecting and integrating several lines of evidence to formulate and test hypotheses
analysing, synthesising and summarising information critically, including prior research.
Applying knowledge and understanding to complex and multidimensional problems in familiar and unfamiliar contexts recognising and using subject-specific theories, paradigms, concepts and principles.