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.
- 5e.
- xxix, 1026 pages : color illustrations ; 27 cm
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 College of Engineering and Computer Studies