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001 978-3-031-02400-9
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020 _a9783031024009
_9978-3-031-02400-9
024 7 _a10.1007/978-3-031-02400-9
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
072 7 _aPB
_2thema
082 0 4 _a510
_223
100 1 _aShasha, Dennis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978775
245 1 0 _aStatistics is Easy! 2nd Edition
_h[electronic resource] /
_cby Dennis Shasha, Manda Wilson.
250 _a2nd ed. 2011.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2011.
300 _aXII, 162 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
505 0 _aThe Basic Idea -- Pragmatic Considerations when Using Resampling -- Terminology -- The Essential Stats -- Case Study: New Mexico's 2004 Presidential Ballots -- References -- Bias Corrected Confidence Intervals -- Appendix B.
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 system atically 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. Th e ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea/ Pragmatic Considerations when Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References / Bias Corrected Confidence Intervals / Appendix B.
650 0 _aMathematics.
_911584
650 0 _aStatistics .
_931616
650 0 _aEngineering mathematics.
_93254
650 1 4 _aMathematics.
_911584
650 2 4 _aStatistics.
_914134
650 2 4 _aEngineering Mathematics.
_93254
700 1 _aWilson, Manda.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978776
710 2 _aSpringerLink (Online service)
_978777
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031002564
776 0 8 _iPrinted edition:
_z9783031012723
776 0 8 _iPrinted edition:
_z9783031035289
830 0 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
_978778
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02400-9
912 _aZDB-2-SXSC
942 _cEBK
999 _c84653
_d84653