### Some articles on *sample, sample size, size, samples*:

Bootstrapping (statistics) - Situations Where Bootstrapping Is Useful

... it provides an indirect method to assess the properties of the distribution underlying the

... it provides an indirect method to assess the properties of the distribution underlying the

**sample**and the parameters of interest that are derived from this distribution ... When the**sample size**is insufficient for straightforward statistical inference ... account for the distortions caused by the specific**sample**that may not be fully representative of the population ...Statewide Opinion Polling For The April, May, And June Democratic Party Presidential Primaries, 2008 - Puerto Rico

... Date Highlights Vocero/Univision Puerto Rico

... Date Highlights Vocero/Univision Puerto Rico

**Sample size**300LV Margin of error ± 3.4% May 8–20, 2008 Clinton 59%, Obama 40%, Undecided 1% El Vocero/Univision/ Greenberg ...PASS

... PASS is a computer program for estimating

**Sample Size**Software... PASS is a computer program for estimating

**sample size**or determining the power of a statistical test or confidence interval ... PASS includes over 150 documented**sample size**and power procedures ...Estimation - Uncorrected Sample Standard Deviation

... for the population standard deviation (of a finite population) can be applied to the

... for the population standard deviation (of a finite population) can be applied to the

**sample**, using the**size**of the**sample**as the**size**of the ... This estimator, denoted by sN, is known as the uncorrected**sample**standard deviation, or sometimes the standard deviation of the**sample**(considered as the entire population), and ... in probability to the population value as the number of**samples**goes to infinity), and is the maximum-likelihood estimate when the population is normally distributed ...Algorithmic Inference - Inferring Functions With The Help of A Computer

... central limit theorem is applicable when the

... central limit theorem is applicable when the

**sample size**is sufficiently large ... Therefore it is less and less applicable with the**sample**involved in modern inference instances ... The fault is not in the**sample size**on its own part ...### Famous quotes containing the words size and/or sample:

“Our brains are no longer conditioned for reverence and awe. We cannot imagine a Second Coming that would not be cut down to *size* by the televised evening news, or a Last Judgment not subject to pages of holier-than-Thou second- guessing in The New York Review of Books.”

—John Updike (b. 1932)

“All that a city will ever allow you is an angle on it—an oblique, indirect *sample* of what it contains, or what passes through it; a point of view.”

—Peter Conrad (b. 1948)

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