Skip to main content Accessibility help
×
Hostname: page-component-5c6d5d7d68-sv6ng Total loading time: 0 Render date: 2024-08-29T17:59:05.637Z Has data issue: false hasContentIssue false

9 - The Binomial Theorem

Published online by Cambridge University Press:  03 February 2010

Get access

Summary

This chapter will indicate how a knowledge of the theory of probability as outlined in the previous chapter can be used to make deductions as to the shape of the frequency distributions produced when certain types of experiment are repeated. The classes of experiments considered have two main characteristics in common:

  1. (i) Each experiment is independent of the result of the preceding experiments. Thus the fact that a coin, when tossed, comes down heads does not affect the chance of the coin coming down heads at the succeeding tossing.

  2. (ii) The quantity studied is the presence or absence of some characteristic; that is, there are only two classes to be considered and every event falls into one or other of these. These may be, for example, the heads or tails for a coin tossing experiment, under 6 ft. or over 6 ft. in height for men drawn from some population, or the presence or absence of some defect in articles made by a machine.

In the previous chapter it was found that if repeated independent drawings are made from the population under consideration, the proportion of individuals in the drawings possessing the characteristic concerned will approach the proportion in the whole population possessing it. But in all sets of drawings there will be some variation from the exact proportion, these variations depending on the size of the sets of drawings and the frequency with which the particular characteristic occurs.

Type
Chapter
Information
Principles of Statistical Techniques
A First Course from the Beginnings, for Schools and Universities, with Many Examples and Solutions
, pp. 128 - 148
Publisher: Cambridge University Press
Print publication year: 1969

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 coreplatform@cambridge.org 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.

  • The Binomial Theorem
  • P. G. Moore
  • Book: Principles of Statistical Techniques
  • Online publication: 03 February 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511569685.010
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.

  • The Binomial Theorem
  • P. G. Moore
  • Book: Principles of Statistical Techniques
  • Online publication: 03 February 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511569685.010
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.

  • The Binomial Theorem
  • P. G. Moore
  • Book: Principles of Statistical Techniques
  • Online publication: 03 February 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511569685.010
Available formats
×