Research methods for information systems Ronald S. King

By:

King, Ronald S [author]

Material type: Text

TextLanguage: English Publication details: Dulles Mercury learning and information 2013Description: 745 pages 26 cm 1 DVD-ROMContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781936420124

Subject(s):

Contents:

Introduction to statistics; descriptive statistics; data mining; probability; estimation; hypothesis testing; chi-square tests; linear regression; variance; random-number generation; guide to research; model construction; statistical software; axiomatic research; simulation and clustering methods; simulations; statistical tables.

Summary: Provides comprehensive coverage for a course in research and statistical methods in computing. This book shows how to apply these methods to the various problems faced in a variety of fields, with emphasis on computer science and information systems. It proposes and discusses a research model applicable to applied research.

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Book	Harare Campus Library Open Shelf	QA76.9.M35 KIN (Browse shelf(Opens below))	146420	Available	BK131913
Core Collection	Main Library Core Collection	QA76.9.M35 KIN (Browse shelf(Opens below))	146421	Available	BK131850
Book	PostGraduate Studies Library Open Shelf	QA76.9.M35 KIN (Browse shelf(Opens below))	146419	Available	BK131910

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Previous	QA 76.9.D3 HOF Modern database management.	QA76.9.D343 WIT Data mining: practical machine learning tools and techniques /	QA76.9.M35 An introduction to statistical learning : with applications in R /	QA76.9.M35 KIN Research methods for information systems	QA276 ARG Statistics for research : with a guide to SPSS	QA 276.2 CLA A basic course in statistics.	QA 276.2 CLA A basic course in statistics.	Next

Includes bibliographical references and index

Provides comprehensive coverage for a course in research and statistical methods in computing. This book shows how to apply these methods to the various problems faced in a variety of fields, with emphasis on computer science and information systems. It proposes and discusses a research model applicable to applied research.

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