Modern business statistics with Microsoft Excel. / David R. Anderson

By: Anderson, David RContributor(s): Williams, Thomas AMaterial type: TextTextPublisher: Cincinnati, Ohio : South-Western, ©2003Description: xxiii, 936 p. : ill. (chiefly col.) ; 27 cm. +ISBN: 0324121741 9780324121742 Subject(s): Microsoft Excel for Windows | Commercial statisticsLOC classification: HF1017.A533
Contents:
Contents: Data and statistics -- Descriptive statistics : Tabular and graphical methods -- Descriptive statistics : numerical methods -- Introduction to probability -- Discrete probability disributions -- Sampling and sampling distributions -- Interval estimation -- Hypothesis testing -- Statistical inferences about means and proportions for two populations -- Inferences about population variances -- Tests of goodness of fit and independence -- Analysis of variance and experimental design -- Simple linear regression -- Multiple regression -- Regression analysis: model building -- Nonparametric methods -- Sample survey -- Statistical methods for quality control -- Tables -- Summation notation -- Answers to even-numered exercises -- Excel functions and the function wizard.
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Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
General Stacks
WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
HF1017.A533 (Browse shelf) 1 Available 1960/12
Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
General Stacks
WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
HF1017.A5332 (Browse shelf) 2 Available 1961/12

Includes bibliographical references and index.

Contents: Data and statistics -- Descriptive statistics : Tabular and graphical methods -- Descriptive statistics : numerical methods -- Introduction to probability -- Discrete probability disributions -- Sampling and sampling distributions -- Interval estimation -- Hypothesis testing -- Statistical inferences about means and proportions for two populations -- Inferences about population variances -- Tests of goodness of fit and independence -- Analysis of variance and experimental design -- Simple linear regression -- Multiple regression -- Regression analysis: model building -- Nonparametric methods -- Sample survey -- Statistical methods for quality control -- Tables -- Summation notation -- Answers to even-numered exercises -- Excel functions and the function wizard.

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