Literature DB >> 11310472

Article 5. An introduction to estimation--2: from z to t.

P Driscoll1, F Lecky.   

Abstract

Provided the sample size is large enough (that is, n greater than 100), the z statistic can be used to determine the confidence interval estimation of the population mean even when the sigma is not known. In these cases the estimation of the standard error of the mean is used. The z statistic is also valid when determining the population's proportion based upon a large sample. However, when dealing with smaller samples, the z statistic is replaced by the t statistic. This makes it possible to estimate, in a population with an unknown standard deviation: The probability of getting a sample mean greater than or equal to a particular value The value of a sample mean with a particular probability of occurring The probability of getting a sample mean between two particular values The confidence interval for the estimation of the population mean can also be determined using the t statistic.

Mesh:

Year:  2001        PMID: 11310472      PMCID: PMC1725502          DOI: 10.1136/emj.18.1.65

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  1 in total

Review 1.  Article 4. An introduction to estimation--1. Starting from Z.

Authors:  P Driscoll; F Lecky; M Crosby
Journal:  J Accid Emerg Med       Date:  2000-11
  1 in total
  2 in total

1.  Article 6. An introduction to hypothesis testing. Parametric comparison of two groups--1.

Authors:  P Driscoll; F Lecky
Journal:  Emerg Med J       Date:  2001-03       Impact factor: 2.740

2.  Article 7. An introduction to hypothesis testing. Parametric comparison of two groups--2.

Authors:  P Driscoll; F Lecky
Journal:  Emerg Med J       Date:  2001-05       Impact factor: 2.740

  2 in total

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