000 | 03250nam a22005175i 4500 | ||
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001 | 978-3-031-02393-4 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 221110s2008 sz | s |||| 0|eng d | ||
020 |
_a9783031023934 _9978-3-031-02393-4 |
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024 | 7 |
_a10.1007/978-3-031-02393-4 _2doi |
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_aShasha, Dennis. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979318 |
|
245 | 1 | 0 |
_aStatistics is Easy! _h[electronic resource] / _cby Dennis Shasha, Manda Wilson. |
250 | _a1st ed. 2008. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2008. |
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300 |
_aIV, 82 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_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. | ||
650 | 0 |
_aMathematics. _911584 |
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_aStatisticsĀ . _931616 |
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650 | 0 |
_aEngineering mathematics. _93254 |
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_aMathematics. _911584 |
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_aStatistics. _914134 |
650 | 2 | 4 |
_aEngineering Mathematics. _93254 |
700 | 1 |
_aWilson, Manda. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979319 |
|
710 | 2 |
_aSpringerLink (Online service) _979320 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031012655 |
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_iPrinted edition: _z9783031035210 |
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_aSynthesis Lectures on Mathematics & Statistics, _x1938-1751 _979321 |
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