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Modern business statistics with Microsoft Office Excel / David R. Anderson, University of Cincinnati, Dennis J. Sweeney, University of Cincinnati, Thomas A. Williams, Rochester Institute of Technology.

By: Anderson, David R. (David Ray), 1941-.
Contributor(s): Sweeney, Dennis J | Williams, Thomas A. (Thomas Arthur), 1944-.
Stamford, Connecticut, USA : Cengage Learning , ©2015Edition: 5e.Description: xxix, 1026 pages : color illustrations ; 27 cm.Content type: text ISBN: 9781285433301; 1285433300.Subject(s): Microsoft Excel (Computer file) | Commercial statisticsDDC classification: 519.5/An23
Contents:
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 -- Tests of goodness of fit, independence, and multiple proportions -- 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 -- Decision analysis on website -- Sample survey on website.
Summary: Discusses and develops each statistical technique in an application setting. This title emphasizes the applications of Excel[registered] while focusing on the statistical methodology. It includes step-by-step instructions and screen captures that clarify student learning.
Item type Current location Call number Status Date due Barcode
Books Books College Library
General Reference Section
COE 005.54/An23 (Browse shelf) Available 81762

College of Engineering and Computer Studies

Previously published: Mason, OH : South-Western Cengage Learning, c2012.

Includes 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 -- Tests of goodness of fit, independence, and multiple proportions -- 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 -- Decision analysis on website -- Sample survey on website.

Discusses and develops each statistical technique in an application setting. This title emphasizes the applications of Excel[registered] while focusing on the statistical methodology. It includes step-by-step instructions and screen captures that clarify student learning.

College of Engineering and Computer Studies

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