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Introduction to Data Analysis for Managers | |
Introduction | |
An Overview of the Book | |
Excel versus Standalone Statistical Software | |
A Sampling of Examples | |
Conclusion | |
Getting, Describing, and Summarizing Data | |
Describing Data: Graphs and Tables | |
Introduction | |
Basic Concepts | |
Frequency Tables and Histograms | |
Analyzing Relationships with Scatterplots | |
Time Series Plots | |
Exploring Data with Pivot Tables | |
Conclusion | |
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 Add-Ins | |
Measures of Association: Covariance and Correlation | |
Describing Data Sets with Boxplots | |
Applying the Tools | |
Conclusion | |
Getting the Right Data | |
Introduction | |
Sources of Data | |
Using Excel's AutoFilter | |
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 | |
Probability, Uncertainty, and Decision Making | |
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 | |
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 | |
Decision Making Under Uncertainty | |
Introduction | |
Elements of a Decision Analysis | |
The PrecisionTree Add-In | |
More Single-Stage Examples | |
Multistage Decision Problems | |
Bayes' Rule | |
Incorporating Attitudes Toward Risk | |
Conclusion | |
Statistical Inference | |
Sampling and Sampling Distributions | |
Introduction | |
Sampling Terminology | |
Methods for Selecting Random Samples | |
An Introduction to Estimation | |
Conclusion | |
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 | |
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 | |
Regression, Forecasting, and Time Series | |
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 | |
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 | |
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 | |
Conclusion | |
Other Statistical Tools | |
Analysis of Variance and Experimental Design | |
Introduction | |
One-Way ANOVA | |
Using Regression to Perform ANOVA | |
The Multiple Comparison Problem | |
Two-Way ANOVA | |
More About Experimental Design | |
Conclusion | |
Data Mining Techniques: Discriminant Analysis, Logist | |
Table of Contents provided by Publisher. All Rights Reserved. |
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This text presents statistical concepts and methods in a unified, modern, spreadsheet-oriented approach. Featuring a wealth of businessapplications, this examples-based text illustrates a variety of statistical methods to help students analyze data sets and uncoverimportant information to aid decision-making. DATA ANALYSIS FOR MANAGERS contains professional StatPro add-ins for Microsoft Excelfrom Palisade, valued at one hundred fifty dollars packaged at no additional cost with every new text.
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