Statistical Hypothesis Testing with Microsoft ® Office Excel ® (Record no. 85670)
[ view plain ]
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. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | 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 |
912 ## - | |
-- | ZDB-2-SXSC |
No items available.