Statistics for the Sciences

Course code STAT6107Units 10Level 6000Faculty of Science and Information TechnologySchool of Mathematical and Physical Sciences

How do we use data to make informed scientific decisions? This course introduces students to statistical thinking, data collection, data presentation and statistical analysis. Examples from a range of science related disciplines are used to illustrate the key concepts.

Although the emphasis is on applied data analysis rather than statistical theory, the course also provides an appropriate introduction for those students who intend to study statistics at a more detailed level.

Available in 2014

Callaghan CampusSemester 1, Semester 2
Previously offered in 2013, 2012, 2011, 2010, 2009, 2008
ObjectivesOn successful completion of this course, students will be able to:

1. appreciate the role of statistics in developing scientific knowledge
2. relate probability and sampling concepts to statistical analysis of data
3. apply basic principles of experimental design when collecting data
4. analyse data using common statistical software and interpret results to solve science related problems.
Content. Introduction & overview of statistics in the sciences
. Understanding variation and describing univariate data
. Understanding bivariate relationships
. Collecting data - surveys and experiments
. Probability concepts
. Statistical inference - hypothesis tests and confidence intervals
. Simple bivariate statistical models including regression and ANOVA.
Replacing Course(s)n/a
Industrial Experience0
Assumed KnowledgeArithmetic and algebra up to and including logarithmic and exponential functions. Knowledge of calculus and matrices is not required.
Modes of DeliveryDistance Learning : IT Based
Internal Mode
Teaching MethodsLecture
Computer Lab
Assessment Items
Essays / Written Assignments
Examination: Formal
Quiz - Class
Contact HoursComputer Lab: for 2 hour(s) per Week for Full Term
Lecture: for 2 hour(s) per Week for Full Term
Timetables2014 Course Timetables for STAT6107