Statistical Hypothesis Testing with Microsoft ® Office Excel ® (Record no. 85670)

000 -LEADER
fixed length control field 03157nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-3-031-04202-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164429.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220714s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031042027
-- 978-3-031-04202-7
082 04 - CLASSIFICATION NUMBER
Call Number 519.5
100 1# - AUTHOR NAME
Author Hirsch, Robert.
245 10 - TITLE STATEMENT
Title Statistical Hypothesis Testing with Microsoft ® Office Excel ®
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 87 p. 25 illus., 7 illus. in color.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Mathematics & Statistics,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Statistical Hypotheses -- Frequentist Approach -- Bayesian Approach -- Testing Accumulating Data.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-04202-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2022.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics .
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistical Theory and Methods.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Bayesian Inference.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1938-1751
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-- ZDB-2-SXSC

No items available.