Statistical methods in practice : for scientists and technologists / Richard Boddy, Gordon Smith.

By:

Boddy, Richard, 1939-

Contributor(s):

Smith, Gordon (Gordon Laird)

Material type: Text

TextPublication details: Chichester, U.K. : Wiley, 2009.Description: xii, 236 p. : ill. ; 24 cmISBN:

9780470746646
0470746645

Subject(s):

DDC classification:

519.5 22

Summary: "This book presents a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, including descriptive statistics (e.g. mean, median, standard deviation), inference (confidence intervals), significance testing for one mean, two means, two standard deviations, distributions (Normal, Binomial, Poisson), exploratory data analysis (box plots), nonparametric methods, regression and correlation, cusum charts for plotting data over time and detecting changesA hands-on, practical approach to statistics for those with little background in the subject Introduces a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, presented from descriptive statistics to nonparametric methods Includes a supporting website, providing software to aid tutorials Based on practical courses given to scientists and technologists of all levels Combines realistic case studies and examples with a practical approach to statistical analysis"--Provided by publisher.

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Books	Main library General Stacks	519.5 / BO.S 2009 (Browse shelf(Opens below))	1	Available		006352

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Includes bibliographical references and index.

"This book presents a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, including descriptive statistics (e.g. mean, median, standard deviation), inference (confidence intervals), significance testing for one mean, two means, two standard deviations, distributions (Normal, Binomial, Poisson), exploratory data analysis (box plots), nonparametric methods, regression and correlation, cusum charts for plotting data over time and detecting changesA hands-on, practical approach to statistics for those with little background in the subject Introduces a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, presented from descriptive statistics to nonparametric methods Includes a supporting website, providing software to aid tutorials Based on practical courses given to scientists and technologists of all levels Combines realistic case studies and examples with a practical approach to statistical analysis"--Provided by publisher.

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