This course introduces students to the methods and philosophy of modern statistical data analysis and inference, with a particular focus on applications in the life sciences.

Using tables to organise and summarise data; using graphics to present statistical information; measures of location and spread for univariate distributions. An introductory discussion of: normal and binomial distributions; sampling distributions; inference from small and large samples; confidence intervals; hypothesis testing in one- and two-sample cases; p-values; linear regression models and Analysis of Variance. Examples and applications will be drawn extensively from the life sciences, particularly Biology. The course has a strong emphasis on computing and graphical methods, and uses a variety of real-world problems to motivate the theory and methods required for carrying out statistical data analysis. The course makes extensive use of the Macintosh-based JMP statistical analysis package (previous experience with Macintosh computers is not required).

• 3 returnable assignments during the course of the semester. Together they will be worth 20% of your final score for the course (the first assignment is worth 5%, 2nd assignment is worth 5% and 3rd is worth 10%).
• 5% class participation marks.
• 50 minute open-book mid-semester exam valued at 15% of the course. The mid-semester exam is compulsory. It is NOT optional or redeemable.
• A 3 hour final open-book exam valued at 60%.

Three lectures and one tutorial per week plus private study time.

 Incompatible with STAT1007 QMBE2 and STAT1008 Quantitative Research Methods. Not available to students in the BComm, BEc, BFin, BIntBus and BSocScs(H) programs.

See Course Website:  http://ecocomm.anu.edu.au/courses/course.asp?code=STAT1003

For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT1003