STAT40220 Survey Sampling

Academic Year 2018/2019

This is an introductory course in survey sampling covering the main types of sampling and sampling errors. Students will conduct surveys that use both the material learned in the lectures and give hands-on experience in conducting a real survey. Students will work in groups and prepare a survey report. Some class time will be devoted to group discussions. Lectures will include topics such as planning a survey, non-sampling errors and sampling errors. Different types of sampling will be discussed: simple random sampling, stratified sampling, ratio estimation/cluster sampling and systematic sampling. This will include in each case, the advantages and disadvantages of each type of sampling, how to choose sample sizes and how to construct confidence intervals for estimates. Time permitting, special topics such as randomized response, estimating population size- capture/recapture methods and spatial sampling will be discussed. The topics will be illustrated by reference to the group surveys for the most part. Typewritten notes for the course will be provided on Blackboard.The lectures will be shared with undergraduates but there will be a different exam and more reading and input into the survey will be expected from Master's students.

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Curricular information is subject to change

Learning Outcomes:

On successful completion of this module students should have developed skills in carrying out a survey in practice- organizing, analyzing, interpreting and reporting. They should have learnt how to combine theory with the practical aspects of carrying out a survey. Through the survey work, students will develop communication and problem-solving skills, and teamwork and leadership skills that prepare them for further study and employment. The students also learn through the advice and involvement of the instructor at each step, which helps secure a successful outcome, and sets a good example of how to carry out independent research projects.Students should be able to differentiate between sampling and non-sampling errors. Students should have knowledge of the main types of sampling schemes, the advantages and disadvantages of each, how to choose sample size and be able to produce estimates and confidence intervals. In addition students should be able to explain the connection between the methods used here and those used in an introductory statistics course. Postgraduates will be expected to have a deeper knowledge and understanding than undergraduates.

Student Effort Hours: 
Student Effort Type Hours
Lectures

36
Specified Learning Activities

44
Autonomous Student Learning

70
Total

150
 
Requirements, Exclusions and Recommendations

Not applicable to this module.



Module Requisites and Incompatibles
Incompatibles:
Survey Sampling (STAT30020)

 
Description % of Final Grade Timing
Examination: Exam

50

 2 hour End of Trimester Exam
Group Project: Group project

30

 Throughout the Trimester
Continuous Assessment: In class assignments

20

 Throughout the Trimester

Compensation

This module is not passable by compensation

Resit Opportunities

End of Semester Exam

Remediation

If you fail this module you may do a resit exam. In addiiton to an exam, if a student has not participated in the group survey or submitted a a group survey report they will be required to carry out an alternative task.