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Data Analysis and Decision Making with Microsoft Excel Hardcover

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Item specifics

Condition
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“Used book that is in clean, average condition without any missing pages. 100% Money-Back Guarantee.”
Book Title
Data Analysis and Decision Making with Microsoft Excel Hardcover
ISBN
9780324662443

About this product

Product Identifiers

Publisher
Cengage South-Western
ISBN-10
0324662440
ISBN-13
9780324662443
eBay Product ID (ePID)
65568658

Product Key Features

Number of Pages
1104 Pages
Publication Name
Data Analysis and Decision Making with Microsoft Excel
Language
English
Publication Year
2008
Subject
Decision-Making & Problem Solving, Industrial Management, Desktop Applications / Spreadsheets, Statistics
Features
Revised
Type
Textbook
Author
Wayne Winston, Christopher Zappe, S. Christian Albright
Subject Area
Computers, Business & Economics
Format
Hardcover

Dimensions

Item Height
1.8 in
Item Weight
73.8 Oz
Item Length
10.1 in
Item Width
8.3 in

Additional Product Features

Edition Number
3
Intended Audience
College Audience
Reviews
I want to commend you and your colleagues on Data Analysis and Decision Making.That textbook is one of the most well organized, well written and usefulbooks I have used in either undergraduate or graduate studies. Any questionI had while going through the course was easy to find and well answered.The use of Excel and Palisades tools was excellent.Thank you for taking the time and effort to publish such a great reference.It will surely be on my bookshelf for many years.
Dewey Edition
22
Dewey Decimal
658.4/03/00285554
Edition Description
Revised edition
Table Of Content
Part I: GETTING, DESCRIBING, AND SUMMARIZING DATA. Introduction to Data Analysis and Decision Making. 1. Introduction. An Overview of the Book. The Methods. The Software. A Sampling of Examples. Modeling and Models. Conclusion. 2. Describing Data: Graphs and Tables. Introduction. Basic Concepts. Frequency Tables and Histograms. Analyzing Relationships with Scatterplots. Time Series Graphs. Exploring Data with Pivot Tables. Conclusion. 3. Describing Data: Summary Measures. Introduction. Measures of Central Location. Quartiles and Percentiles. Minimum, Maximum, and Range. Measures of Variability: Variance and Standard Deviation. Obtaining Summary Measures with StatTools. Measures of Association: Covariance and Correlation. Describing Data Sets with Boxplots. Applying the Tools. Conclusion. 4. Getting the Right Data. Introduction. Sources of Data. Excel Tables for Filtering, Sorting, and Summarizing. Complex Queries with the Advanced Filter. Importing External Data from Access. Creating Pivot Tables from External Data. Web Queries. Other Data Sources on the Web. Cleansing the Data. Conclusion. Part II: PROBABILITY, UNCERTAINTY, AND DECISION MAKING. 5. Probability and Probability Distributions. Introduction. Probability Essentials. Distribution of a Single Random Variable. An Introduction to Simulation. Distribution of Two Random Variables: Scenario Approach. Distribution of Two Random Variables: Joint Probability Approach. Independent Random Variables. Weighted Sums of Random Variables. Conclusion. 6. Normal, Binomial, Poisson, and Exponential Distributions. Introduction. The Normal Distribution. Applications of the Normal Distribution. The Binomial Distribution. Applications of the Binomial Distribution. The Poisson and Exponential Distributions. Fitting a Probability Distribution to Data: BestFit. Conclusion. 7. Decision Making Under Uncertainty. Introduction. Elements of a Decision Analysis. The PrecisionTree Add-In. Bayes' Rule. Multistage Decision Problems. Incorporating Attitudes Toward Risk. Conclusion. Part III: STATISTICAL INFERENCE. 8. Sampling and Sampling Distributions. Introduction. Sampling Terminology. Methods for Selecting Random Samples. An Introduction to Estimation. Conclusion. 9. Confidence Interval Estimation. Introduction. Sampling Distributions. Confidence Interval for a Mean. Confidence Interval for a Total. Confidence Interval for a Proportion. Confidence Interval for a Standard Deviation. Confidence Interval for the Difference Between Means. Confidence Interval for the Difference Between Proportions Controlling Confidence Interval Length. Conclusion. 10. Hypothesis Testing. Introduction. Concepts in Hypothesis Testing. Hypothesis Tests for a Population Mean. Hypothesis Tests for Other Parameters. Tests for Normality. Chi-Square Test for Independence. One-Way ANOVA. Conclusion. Part IV: REGRESSION, FORECASTING, AND TIME SERIES. 11. Regression Analysis: Estimating Relationships. Introduction. Scatterplots: Graphing Relationships. Correlations: Indicators of Linear Relationships Simple Linear Regression. Multiple Regression. Modeling Possibilities. Validation of the Fit. Conclusion. 12. Regression Analysis: Statistical Inference Introduction. The Statistical Model. Inferences About the Regression Coefficients. Multicollinearity. Include/Exclude Decisions. Stepwise Regression.The Partial F Test. Outliers. Violations of Regression Assumptions. Prediction. Conclusion. 13. Time Series Analysis and Forecasting. Introduction. Forecasting Methods: An Overview. Testing for Randomness. Regression-Based Trend Models. The Random Walk Model. Autoregression Models. Moving Averages. Exponential Smoothing. Seasonal Models. Winters' Exponential Smoothing Model. Conclusion. Part V: DECISION MODELING. 14. Introduction to Optimization Modeling. Introduction. Introduction to Optimization. A Two-Variable Model. Sensitivity Analysis Properties of Linear Models. Infeasibility and Unboundedness. A Product Mix Model. A Multiperio
Synopsis
Master data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL! With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this quantitative methods text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases provide realistic examples that enable you to see the relevance of the material to your future as a business leader. The CD-ROMs packaged with every new book include the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2007.

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