SESC6010 — Descriptive Statistics

COURSE COORDINATION

Coordinator :	Mr Roger Hall
Contact Details :	Tel : (+612)93855680   •   Fax : (+612)93856190   •   Email : roger.hall@unsw.edu.au

DELIVERY DETAILS		[ Current Schedules and Locations ]

Mode	Session	Type
On campus, Off campus	1	session

COURSE DETAILS
Units of Credit :	3
Prerequisite Courses :	NONE -
Assumed Knowledge :	Students are expected to know basic algebra, greek symbols and have a basic working knowledge of Microsoft Excel
Description :	Descriptive Statistics provides an introduction to basic statistics concepts for students in final year undergraduate or post-graduate programs of the School of Safety Science. The course emphasises the applied, rather than theoretical aspect of statistics, with students making extensive use of computer software to solve problems. The course covers topics on data analysis, sampling, probability theory and statistical inference.
Objectives :	To give students an understanding of basic statistical concepts and their application in various domains of science. To familiarise students with various fundamental statistics concepts and their application to the analysis of data.
Reading :	Set Text Jaisingh, L (2000). Statistics for the utterly confused - 2nd Edition. McGraw-Hill

ASSESSMENT
Details Due Date Weight Several Excel based assignments TBA Satisfactory

COURSE SCHEDULE
Weeks 1 :	Understading data: - Describing distributions with graphs and numbers - The Normal distribution
Weeks 2 :	Examining relationships: - Scatterplots - Correlation - Least squares regression
Weeks 3 :	Probability theory/sampling distributions: - Probability models - Sampling distributions
Weeks 4 :	Introduction to inference: - Tests of significance
Weeks 5 :	Inference for distributions and proportions: - Inference for the population mean - Inference for the population spread - Inference for a population proportion - Comparing two means/proportions
Weeks 6 :	Inference for two-way tables: - The Chi-Square test
Weeks 7 :	Inference for regression: - Inference about the model - Inference about prediction

LEARNING RESOURCES
The University of New South Wales provides a range of resources to help students develop their skills and to realise their full potential. The Learning Centre, located at the entrance to the Library provides guidance material, which is also available on-line.
	The University also provides academic orientation programs called MyStart and ReStart for both new and returning students to help them in their transitions into academia..