Abstract
Investigations that can benefit from a statistical contribution come from a variety of sources. Some examples are provided below:
-
Surveys involve the sampling of collections of people or objects to gather information on numerical properties of the collections. The surveys may range from opinion polls to judge voter behaviour or social preference in human populations, to measurements of pollution levels or environmental change. Surveys are observational studies.
-
Experiments arise when investigators select subjects or experimental units and in some manner manipulate the sample members by applying treatments. Note that the term “treatment” is not limited to a medical application, such as giving a drug to a subject. It applies to any action that might affect the response of the subject or experimental unit, as, for example, a change in the environment in which the sample members are placed. In this chapter and following chapters we concentrate on experiments that involve the comparison of treatment effects, because this raises important issues of design of experiments so that comparisons can be made in an efficient manner and with the aim of avoiding confusing treatment effects and nontreatment effects. We reserve the term designed experiment for those experiments in which the sample members are randomly allocated among the treatments. The reason for distinguishing this subset of experiments is made apparent below.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media New York
About this chapter
Cite this chapter
McPherson, G. (2001). Comparative Studies, Surveys, and Designed Experiments. In: Applying and Interpreting Statistics. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3435-5_13
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3435-5_13
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2879-5
Online ISBN: 978-1-4757-3435-5
eBook Packages: Springer Book Archive