000 03157nam a22004935i 4500
001 978-3-031-04202-7
003 DE-He213
005 20240730164429.0
007 cr nn 008mamaa
008 220714s2022 sz | s |||| 0|eng d
020 _a9783031042027
_9978-3-031-04202-7
024 7 _a10.1007/978-3-031-04202-7
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
082 0 4 _a519.5
_223
100 1 _aHirsch, Robert.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984475
245 1 0 _aStatistical Hypothesis Testing with Microsoft ® Office Excel ®
_h[electronic resource] /
_cby Robert Hirsch.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aX, 87 p. 25 illus., 7 illus. in color.
_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 _aStatistical Hypotheses -- Frequentist Approach -- Bayesian Approach -- Testing Accumulating Data.
520 _aThis book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis tests, and tests performed on accumulating data. The author explains how a hypothesis test can be interpreted to draw conclusions, and descriptions of the logic behind frequentist (classical) and Bayesian approaches to interpret the results of a statistical hypothesis test are provided. Both approaches have their own strengths and challenges, and a special challenge presents itself when hypothesis tests are repeatedly performed on accumulating data. Possible pitfalls and methods to interpret hypothesis tests when accumulating data are also analyzed. This book will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses. • Presents the classical and Bayesian interpretations of hypothesis tests under various conditions • Describes how to take samples and the process for planning to take samples • Explains how to use Excel® to obtain P-values for several common statistical tests and how to interpret them.
650 0 _aStatistics .
_931616
650 1 4 _aStatistics.
_914134
650 2 4 _aStatistical Theory and Methods.
_931618
650 2 4 _aBayesian Inference.
_942679
710 2 _aSpringerLink (Online service)
_984477
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031042010
776 0 8 _iPrinted edition:
_z9783031042034
776 0 8 _iPrinted edition:
_z9783031042041
830 0 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
_984478
856 4 0 _uhttps://doi.org/10.1007/978-3-031-04202-7
912 _aZDB-2-SXSC
942 _cEBK
999 _c85670
_d85670