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Applied statistics for business and ...

Herkenhoff, Linda.

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Applied statistics for business and management using Microsoft Excel

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied statistics for business and management using Microsoft Excel/ by Linda Herkenhoff, John Fogli.
Author:	Herkenhoff, Linda.
other author:	Fogli, John.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xix, 619 p. :ill., digital ;24 cm.
[NT 15003449]:	Statistics and Data. -- Summarizing Data. -- Descriptive Statistics and Graphing. -- Normal World. -- Survey Design. -- Sampling. -- Inference. -- Probability. -- Correlation. -- Simple Linear Regression. -- Multiple Regression. -- Significance Tests. -- Non Linear Regression. -- Survey Reports.
Contained By:	Springer Nature eBook
Subject:	Economics - Statistical methods -
Online resource:	https://doi.org/10.1007/978-3-031-46371-6
ISBN:	9783031463716

Applied statistics for business and management using Microsoft Excel
Herkenhoff, Linda.

Applied statistics for business and management using Microsoft Excel[electronic resource] /by Linda Herkenhoff, John Fogli. - Second edition. - Cham :Springer Nature Switzerland :2025. - xix, 619 p. :ill., digital ;24 cm.

Statistics and Data. -- Summarizing Data. -- Descriptive Statistics and Graphing. -- Normal World. -- Survey Design. -- Sampling. -- Inference. -- Probability. -- Correlation. -- Simple Linear Regression. -- Multiple Regression. -- Significance Tests. -- Non Linear Regression. -- Survey Reports.

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn't your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. The 2nd edition of Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter, with their solutions.

ISBN: 9783031463716

Standard No.: 10.1007/978-3-031-46371-6doiSubjects--Uniform Titles:

Microsoft Excel (Computer file)
Subjects--Topical Terms:

3674068
Economics
--Statistical methods

LC Class. No.: HB137

Dewey Class. No.: 330.015195

Applied statistics for business and management using Microsoft Excel
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505 0 $a Statistics and Data. -- Summarizing Data. -- Descriptive Statistics and Graphing. -- Normal World. -- Survey Design. -- Sampling. -- Inference. -- Probability. -- Correlation. -- Simple Linear Regression. -- Multiple Regression. -- Significance Tests. -- Non Linear Regression. -- Survey Reports.
520 $a This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn't your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. The 2nd edition of Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter, with their solutions.
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