# Statistics for the Sciences

 Course code STAT1070 Units 10 Level 1000 Faculty 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 higher level.

Not to be counted for credit with STAT1020 or STAT1060.

### Available in 2014

Callaghan Campus Semester 1, Semester 2 Semester 2
Previously offered in 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004
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 KnowledgeStudents who are not confident with their mathematics background are advised to complete MATH1001 Preparatory Studies in Mathematics before enrolling in STAT1070.

Note: Knowledge of calculus and matrices is not required.
Modes of DeliveryInternal Mode
Teaching MethodsLecture
Workshop
Computer Lab
Assessment Items
Contact HoursLecture: for 2 hour(s) per Week for Full Term
Computer Lab: for 1 hour(s) per Week for Full Term
Workshop: for 1 hour(s) per Week for Full Term
Timetables