Data Analysis and Decision Making with Microsoft Excel, Revised (with CD-ROM and Decision Tools and Statistic Tools Suite)

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  • Edition: 3rd
  • Format: Hardcover
  • Copyright: 6/24/2008
  • Publisher: South-Western College Pub
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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.

Table of Contents

Getting, Describing, and Summarizing Data
Introduction to Data Analysis and Decision Making
An Overview of the Book
The Methods
The Software
A Sampling of Examples
Modeling and Models
Describing Data: Graphs and Tables
Basic Concepts
Frequency Tables and Histograms
Analyzing Relationships with Scatterplots
Time Series Graphs
Exploring Data with Pivot Tables
Describing Data: Summary Measures
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
Getting the Right Data
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
Probability, Uncertainty, and Decision Making
Probability and Probability Distributions
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
Normal, Binomial, Poisson, and Exponential Distributions
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
Decision Making Under Uncertainty
Elements of a Decision Analysis
The PrecisionTree Add-In
Bayes' Rule
Multistage Decision Problems
Incorporating Attitudes Toward Risk
Statistical Inference
Sampling and Sampling Distributions
Sampling Terminology
Methods for Selecting Random Samples
An Introduction to Estimation
Confidence Interval Estimation
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
Hypothesis Testing
Concepts in Hypothesis Testing
Hypothesis Tests for a Population Mean
Hypothesis Tests for Other Parameters
Tests for Normality
Chi-Square Test for Independence
Regression, Forecasting, and Time Series
Regression Analysis: Estimating Relationships
Scatterplots: Graphing Relationships
Correlations: Indicators of Linear Relationships Simple Linear Regression
Multiple Regression
Modeling Possibilities
Validation of the Fit
Regression Analysis: Statistical Inference Introduction
The Statistical Model
Inferences About the Regression Coefficients
Include/Exclude Decisions
Stepwise Regression.The Partial F Test
Violations of Regression Assumptions
Time Series Analysis and Forecasting
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
Decision Modeling
Introduction to Optimization Modeling
Introduction to Optimization
A Two-Variable Model
Sensitivity Analysis Properties of Linear Models
Infeasibility and Unboundedness
A Product Mix Model
A Multiperio
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