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Simple sampling procedures

Montserrat Guillén, Mónica Bécue & Manuela Alcañiz

We present an introduction to sampling methods and start with the most commonly used sample selection results: simple random sampling with replacement, weighted random sampling and stratified sampling. We show how to calculate means based on the sample design. Failure to account for the sample design may lead to serious underestimation or overestimation of sampling errors.

The complete practice guide can be found in:

Guillén, M., Bécue, M. and Alcañiz, M. (2011) Guia de pràctiques de Mostreig estadístic. Col·lecció OMADO. Universitat de Barcelona. ISBN: 978-84-615-0779-5

DATA DESCRIPTION

Name	Content description
Prob1.csv	Policy holders of an insurance company.

Download Prob1.csv data set here.

Practice 1

Select a random sample of 100 cases and estimate average age.

- Script

Download the R script here.

Practice 2

Select a random sample of 50 men (gend=1) and 50 women (gend=0) and estimate average age (no weights).

- Script

Download the R script here.

Practice 3

Select a random sample of 75 men (gend=1) and 25 women (gend=0) and estimate average age using weights.

- Script

Download the R script here.

REFERENCES

[1] Lohr, S. (2010) Sampling: Design and Analysis. Brooks/Cole.

[2] Lohr, S. (2010) Solutions Manual for Sampling: Design and Analysis. Brooks/Cole.

[3] Lohr, S. (2010) Computer Programs for Sampling: Design and Analysis. Brooks/Cole.

[4] Tillé, Y. (2006) Sampling Algorithms. Springer.

Universitat de Barcelona - Last Updated: 05-23-2014