Statistics for the 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.
|Faculty||Faculty of Science and Information Technology|
|School||School of Mathematical and Physical Sciences|
Semester 2 - 2014
On successful completion of this course, students will be able to:
. 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.
|Assumed Knowledge||Arithmetic and algebra up to and including logarithmic and exponential functions. Knowledge of calculus and matrices is not required.|
|Modes of Delivery||Distance Learning : IT Based
|Compulsory Components||None listed|
|Course Materials||None listed|
|Timetable||2014 Course Timetables for STAT6107|