Statistics for business & economics /
by Anderson, David R. (David Ray) [author.]; Sweeney, Dennis J [author.]; Williams, Thomas A. (Thomas Arthur) [author.]; Camm, Jeffrey D [author.]; Cochran, James J [author.].
Material type:
BookPublisher: Boston, MA : Cengage Learning, [2018] (2021 Printing)Edition: 13e revised [edition].Description: xxvii, 1092 pages : color illustrations ; 27 cm.ISBN: 9789353502515.Other title: Statistics for business and economics.Subject(s): Commercial statistics -- Methodology | Economics -- Statistical methods | Commercial statistics -- Methodology | Economics -- Statistical methods | Statistik | Wirtschaftsmathematik | Wirtschaftsstatistik | Problems and exercises| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
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Dhaka University Library General Stacks | Non Fiction | 519.5 ANS (Browse shelf) | 1 | Available | 520848 | |
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Books
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Dhaka University Library General Stacks | Non Fiction | 519.5 ANS (Browse shelf) | 2 | Available | 520849 |
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| 519.5 ANS Essentials of statistics for business and economics / | 519.5 ANS Statistics for business and economics / | 519.5 ANS Statistics for business and economics / | 519.5 ANS Statistics for business & economics / | 519.5 ANS Statistics for business & economics / | 519.5 ARS Statistics for research : | 519.5 ARS Statistics for research : |
Includes bibliographical references (pages 974-975) and index.
Data and statistics -- Descriptive statistics: tabular and graphical displays -- Descriptive statistics: numerical measures -- Introduction to probability -- Discrete probability distributions -- Continuous probability distributions -- Sampling and sampling distributions -- Interval estimation -- Hypothesis tests -- Inference about means and proportions with two populations -- Inferences about population variances -- Comparing multiple proportions, test of independence and goodness of fit -- Experimental design and analysis of variance -- Simple linear regression -- Multiple regression -- Regression analysis: model building -- Time series analysis and forecasting -- Nonparametric methods -- Statistical methods for quality control -- Index numbers -- Decision analysis (on website) -- Sample survey (on website).
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