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.
Not currently offered.
This Course was last offered in Semester 2 - 2014.
On successful completion of the 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.
- 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.
Arithmetic and algebra up to and including logarithmic and exponential functions. Knowledge of calculus and matrices is not required.
Written Assignment: Assignment (x4)
Formal Examination: Examination ¿ Formal