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Statistical hypothesis testing with Microsoft® Office Excel® Robert Hirsch

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Hirsch, Robert P., author.
Series:
Synthesis lectures on mathematics & statistics (Springer (Firm))
Synthesis lectures on mathematics & statistics 1938-1751
Language:
English
Subjects (All):
Statistical hypothesis testing.
Microsoft Excel (Computer file).
Physical Description:
1 online resource
Edition:
Second edition
Other Title:
Statistical hypothesis testing with Microsoft Office Excel
Place of Publication:
Cham, Switzerland Springer [2026]
Summary:
"This book provides a comprehensive treatment of the logic behind hypothesis testing. This updated edition covers frequentist (classical) and Bayesian approaches to interpretation of the results of a statistical hypothesis test. In a new chapter, nonparametric hypothesis testing is also discussed. The author describes the most commonly used statistical tests and provides instructions for how to perform them using Microsoft Office Excel. Readers will learn 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. This new edition includes the chi-square test as a method for nominal data. The author provides frameworks for how to plan the size of a sample and how to select which test to use for a data set. This second edition will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses"-- Springer Nature Link
Contents:
Logic of hypothesis testing
Sampling
Basic statistical methods
Nonparametric methods
Interim analysis
Planning the sample’s size
Notes:
Includes bibliographical references and index
Online resource; title from PDF title page (Springer Nature Link, viewed April 23, 2026)
Other Format:
Print version Hirsch, Robert P. Statistical hypothesis testing with Microsoft® Office Excel®
ISBN:
9783032120342
3032120349
OCLC:
1586624591
Access Restriction:
Restricted for use by site license

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