Modern Business Statistics with Microsoft Excel 5th Edition Anderson Solutions Manual
Product details:
- ISBN-10 : 1305082184
- ISBN-13 : 978-1305082182
- Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Use MODERN BUSINESS STATISTICS, 5E to gain a strong conceptual understanding of statistics with a balance of real-world applications and a focus on the integrated strengths of Microsoft Excel 2013. To ensure your understanding, this best-selling, comprehensive text carefully discusses and clearly develops each statistical technique in a solid application setting. Immediately after each easy-to-follow presentation of a statistical procedure, a subsection discusses how to use Excel to perform the procedure. This integrated approach emphasizes the applications of Excel while focusing on the statistical methodology. Step-by-step instructions and screen captures further clarify the presentation to ensure your understanding. A wealth of timely business examples, proven methods, and application exercises clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. The book’s class-tested problem-scenario approach emphasizes how you can apply statistical methods to today’s practical business situations. New case problems and self-tests throughout this edition allow you to check your personal understanding. Additional learning resources, including CengageNOW for online homework assistance and a complete support website, provide everything you need to acquire Excel 2013 skills and an understanding of business statistics.
Table contents:
Ch 1: Data and Statistics
Ch 2: Descriptive Statistics: Tabular and Graphical Displays
Ch 3: Descriptive Statistics: Numerical Measures
Ch 4: Introduction to Probability
Ch 5: Discrete Probability Distributions
Ch 6: Continuous Probability Distributions
Ch 7: Sampling and Sampling Distributions
Ch 8: Interval Estimation
Ch 9: Hypothesis Tests
Ch 10: Inference about Means and Proportions with Two Populations
Ch 11: Inferences about Population Variances
Ch 12: Tests of Goodness of Fit, Independence, and Multiple Pro…
Ch 13: Experimental Design and Analysis of Variance
Ch 14: Simple Linear Regression
Ch 15: Multiple Regression
Ch 16: Regression Analysis: Model Building
Ch 17: Time Series Analysis and Forecasting
Ch 18: Nonparametric Methods
Ch 19: Statistical Methods for Quality Control
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