Skip to main content Accessibility help
×
Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-25T07:43:11.383Z Has data issue: false hasContentIssue false

2 - Continuous Distributions: Confidence Limits

Published online by Cambridge University Press:  05 June 2012

R. E. Parker
Affiliation:
Queen's University Belfast
Get access

Summary

A population represented by a sample

The populations about which we wish to make statements and draw conclusions are represented in biological surveys and experiments by samples (see § 1.1). These samples consist of individuals. In some investigations these individuals are whole plants or animals but more generally they range from individual cells, or even organelles, to plots of forest trees. They can take the form of organs, tissue preparations, extracts, and even environmental locations. Despite this diversity they have in common the fact that they contribute an item of information relating to one or more of their attributes. For the moment we are concerned only with situations in which there is information relating to one kind of attribute and in which the information consists of measurements on a continuous scale, such as weight, volume, area, length, concentration, rate, pH, etc.

Suppose that as part of an autecological study of the bracken fern (Pteridium aquilinum) we wished to assess the performance of the fern within a certain area, Area 1. Frond (leaf) length could be included among the performance parameters. There are thousands of fronds in the population of the area and they vary conspicuously in length. We might decide to measure a sample of 100 fronds. Clearly the sample should be representative and must therefore be selected without bias. This is more difficult to achieve than it might appear, simply measuring one frond here and another there in an irregular manner will not do.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 1991

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×