000 | 03157nam a22004935i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-3-031-04202-7 _2doi |
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050 | 4 | _aQA276-280 | |
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_aPBT _2bicssc |
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_aMAT029000 _2bisacsh |
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_a519.5 _223 |
100 | 1 |
_aHirsch, Robert. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984475 |
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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. |
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300 |
_aX, 87 p. 25 illus., 7 illus. in color. _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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_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Mathematics & Statistics, _x1938-1751 |
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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 |
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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 |
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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 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-04202-7 |
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