000			03030nam a22004095i 4500
999			_c387106 _d387106
001			387106
003			ES-MaUEC
005			20230218153000.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			230218s2008 sz | s |||| 0|eng d
020			_a9783031023934
024	7		_a10.1007/978-3-031-02393-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA278.8 _b2008 EB
100	1		_aShasha, Dennis Elliott _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686965
245	1	0	_aStatistics is Easy! _cby Dennis Shasha, Manda Wilson
250			_a1st edition 2008
264		1	_aCham _bSpringer International Publishing _c2008
300			_a1 recurso en línea (IV, 82 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Mathematics & Statistics _x1938-1751
505	0		_aThe Basic Idea -- Bias Corrected Confidence Intervals -- Pragmatic Considerations When Using Resampling -- Terminology -- The Essential Stats -- Case Study: New Mexico's 2004 Presidential Ballots -- References.
520			_aStatistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then systematically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. The ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Bias Corrected Confidence Intervals / Pragmatic Considerations When Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References.
988			_aSynthesis Collection of Technology_2008
650		7	_2embne _9686387 _aEstadística no paramétrica
700	1		_aWilson, Manda _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686388
776	0	8	_iPrinted edition: _z9783031012655
776	0	8	_iPrinted edition: _z9783031035210
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02393-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI