國立虎尾科技大學 |

Statistical Hypothesis Testing with Microsoft ® Office Excel ®

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical Hypothesis Testing with Microsoft ® Office Excel ®/ by Robert Hirsch.
Author:	Hirsch, Robert.
Description:	X, 87 p. 25 illus., 7 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Bayesian Inference. -
Online resource:	https://doi.org/10.1007/978-3-031-04202-7
ISBN:	9783031042027

Statistical Hypothesis Testing with Microsoft ® Office Excel ®
Hirsch, Robert.

Statistical Hypothesis Testing with Microsoft ® Office Excel ®[electronic resource] /by Robert Hirsch. - 1st ed. 2022. - X, 87 p. 25 illus., 7 illus. in color.online resource. - Synthesis Lectures on Mathematics & Statistics,1938-1751. - Synthesis Lectures on Mathematics & Statistics,.

Statistical Hypotheses -- Frequentist Approach -- Bayesian Approach -- Testing Accumulating Data.

This 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.

ISBN: 9783031042027

Standard No.: 10.1007/978-3-031-04202-7doiSubjects--Topical Terms:

1211345
Bayesian Inference.

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Statistical Hypothesis Testing with Microsoft ® Office Excel ®
LDR:02711nam a22003855i 4500 001 1088547
003 DE-He213
005 20220714165402.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031042027 $9 978-3-031-04202-7
024 7 $a 10.1007/978-3-031-04202-7 $2 doi
035 $a 978-3-031-04202-7
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Hirsch, Robert. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 657747
245 1 0 $a Statistical Hypothesis Testing with Microsoft ® Office Excel ® $h [electronic resource] / $c by Robert Hirsch.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a X, 87 p. 25 illus., 7 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Synthesis Lectures on Mathematics & Statistics, $x 1938-1751
505 0 $a Statistical Hypotheses -- Frequentist Approach -- Bayesian Approach -- Testing Accumulating Data.
520 $a This 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 2 4 $a Bayesian Inference. $3 1211345
650 2 4 $a Statistical Theory and Methods. $3 671396
650 1 4 $a Statistics. $3 556824
650 0 $a Statistics . $3 1253516
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031042010
776 0 8 $i Printed edition: $z 9783031042034
776 0 8 $i Printed edition: $z 9783031042041
830 0 $a Synthesis Lectures on Mathematics & Statistics, $x 1938-1751 $3 1388395
856 4 0 $u https://doi.org/10.1007/978-3-031-04202-7
912 $a ZDB-2-SXSC
950 $a Synthesis Collection of Technology (R0) (SpringerNature-85007)