Skip to content. Skip to navigation
Personal tools
You are here: Home Units STAT7448 S2 2008 CRAWLEY
Document Actions

4S8: Sample Surveys ( STAT7448)
Semester: 2   Campus: CRAWLEY

Availability: Semester 1, Semester 2 (See Timetable)

Description

This unit covers statistical survey techniques which are fundamental for the correct application of statistical procedures to the collection and analysis of data. It is concerned with investigations of natural populations and requires a slightly different approach to other areas of Statistics. Students understand the population of interest, decide how to sample that population and which measurements to make on the individuals selected. Population surveys are of great importance to individuals and governments who require the information for policy decisions. The content of the unit was developed in consultation with the Australian Bureau of Statistics and covers a wide range of sampling schemes as well as problems of non-response.

For more info see the Handbook: http://handbooks.uwa.edu.au/units/stat/stat7448

Resources

ERROR!!!


Either this unit is not approved yet, a javascript error occured, or your javascript is disabled in your browser.


If your javascript is disabled you will
not be able to use the links on the right hand side.

Please check and if necessary enable javascript in your
browser settings, and then reload
this page.

If your current browser does not support
javascript, you can download "Mozilla Firefox"
from the internet for free.

If this problem persists, please report it to the webmaster.

  • Unit Outline not available


Assessment

This comprises an end-of-semester examination and in-semester tests or assignments. All assessment tasks require students to apply their knowledge of the unit content to solve previously unseen problems. Credit is given for clarity and correctness of presentation as well as for actual results.

Supplementary assessment is not available in this unit.

last modified 2007-12-10 11:33 by admin


« September 2008 »
Su Mo Tu We Th Fr Sa
  1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30        
 

Powered by Plone, the Open Source Content Management System