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From |
David Greenberg <dg4@nyu.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Inferential Statistics with population data |

Date |
Mon, 01 Jun 2009 15:59:42 -0400 |

In 1970 Aldine Pub. Co. published THE SIGNIFICANCE TEST CONTROVERSY: A READER, edited by Denton Morrison. The papers included in the volume debate the issue. - David Greenberg, Sociology Department, New York U. ----- Original Message ----- From: Salima Bouayad Agha <Salima.Bouayad-Agha@univ-lemans.fr> Date: Saturday, May 30, 2009 4:17 pm Subject: Re: st: Explaining the Use of Inferential Statistics Even Though I Have Population Data To: statalist@hsphsun2.harvard.edu > Well, even if is not really a stata question, I Think that the > question of your reviewer is not obvious. > In statistics a sample can effectively be a part of the population, > and it is the most useful and current way to talk about of a sample, > > but in mathematical statistical course students also learn that a > sample can be just the population a one specific moment of time and > that this population can be very different if something else (random > > phenomenon) happens. Think for example of time series or some > staistical process, let for example talk about the population of > computers produced by a firm. So I'm not sure that your answer is the > > best one, depending on which field of research you are working. Just > > take a few moment to review some theoretical books on xaht is a sample > > in statistics. > > Salima > > PS : > In mathematical terms, given a random variable X with distribution F, > > a sample of length n\in\mathbb{N} is a set of n independent, > identically distributed (iid) random variables with distribution F. It > > concretely represents n experiments in which we measure the same > quantity. For example, if X represents the height of an individual and > > we measure n individuals, Xi will be the height of the i-th > individual. Note that a sample of random variables (i.e. a set of > measurable functions) must not be confused with the realisations of > these variables (which are the values that these random variables > take). In other words, Xi is a function representing the mesure at the > > i-th experiment and xi = Xi(?) is the value we actually get when > making the measure. > > > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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