Book , Print in English

Statistics for business : decision making and analysis

Robert Stine, Dean Foster.
  • Boston : Addison-Wesley, ©2013.
  • 2nd ed.
  • 1 volume(s). (various pagings) : colored illustrations; 29 cm. Accompanied by: + 1 CD-ROM (4 3/4 in.)
Subjects
Contents
  • pt. ONE Variation
  • 1. Introduction
  • 1.1. What Is Statistics?
  • 1.2. Previews
  • 2. Data
  • 2.1. Data Tables
  • 2.2. Categorical and Numerical Data
  • 2.3. Recoding and Aggregation
  • 2.4. Time Series
  • 2.5. Further Attributes of Data
  • Chapter Summary
  • 3. Describing Categorical Data
  • 3.1. Looking at Data
  • 3.2. Charts of Categorical Data
  • 3.3. Area Principle
  • 3.4. Mode and Median
  • Chapter Summary
  • 4. Describing Numerical Data
  • 4.1. Summaries of Numerical Variables
  • 4.2. Histograms
  • 4.3. Boxplot
  • 4.4. Shape of a Distribution
  • 4.5. Epilog
  • Chapter Summary
  • 5. Association between Categorical Variables
  • 5.1. Contingency Tables
  • 5.2. Lurking Variables and Simpson's Paradox
  • 5.3. Strength of Association
  • Chapter Summary
  • 6. Association between Quantitative Variables
  • 6.1. Scatterplots
  • 6.2. Association in Scatterplots
  • 6.3. Measuring Association
  • 6.4. Summarizing Association with a Line
  • 6.5. Spurious Correlation
  • Chapter Summary
  • Statistics In Action Financial Time Series
  • Statistics In Action Executive Compensation
  • pt. TWO Probability
  • 7. Probability
  • 7.1. From Data to Probability
  • 7.2. Rules for Probability
  • 7.3. Independent Events
  • Chapter Summary
  • 8. Conditional Probability
  • 8.1. From Tables to Probabilities
  • 8.2. Dependent Events
  • 8.3. Organizing Probabilities
  • 8.4. Order in Conditional Probabilities
  • Chapter Summary
  • 9. Random Variables
  • 9.1. Random Variables
  • 9.2. Properties of Random Variables
  • 9.3. Properties of Expected Values
  • 9.4. Comparing Random Variables
  • Chapter Summary
  • 10. Association between Random Variables
  • 10.1. Portfolios and Random Variables
  • 10.2. Joint Probability Distribution
  • 10.3. Sums of Random Variables
  • 10.4. Dependence between Random Variables
  • 10.5. IID Random Variables
  • 10.6. Weighted Sums
  • Chapter Summary
  • 11. Probability Models for Counts
  • 11.1. Random Variables for Counts
  • 11.2. Binomial Model
  • 11.3. Properties of Binomial Random Variables
  • 11.4. Poisson Model
  • Chapter Summary
  • 12. Normal Probability Model
  • 12.1. Normal Random Variable
  • 12.2. Normal Model
  • 12.3. Percentiles
  • 12.4. Departures from Normality
  • Chapter Summary
  • Statistics In Action Managing Financial Risk
  • Statistics In Action Modeling Sampling Variation
  • pt. THREE Inference
  • 13. Samples and Surveys
  • 13.1. Two Surprising Properties of Samples
  • 13.2. Variation
  • 13.3. Alternative Sampling Methods
  • 13.4. Questions to Ask
  • Chapter Summary
  • 14. Sampling Variation and Quality
  • 14.1. Sampling Distribution of the Mean
  • 14.2. Control Limits
  • 14.3. Using a Control Chart
  • 14.4. Control Charts for Variation
  • Chapter Summary
  • 15. Confidence Intervals
  • 15.1. Ranges for Parameters
  • 15.2. Confidence Interval for the Mean
  • 15.3. Interpreting Confidence Intervals
  • 15.4. Manipulating Confidence Intervals
  • 15.5. Margin of Error
  • Chapter Summary
  • 16. Statistical Tests
  • 16.1. Concepts of Statistical Tests
  • 16.2. Testing the Proportion
  • 16.3. Testing the Mean
  • 16.4. Significance versus Importance
  • 16.5. Confidence Interval or Test?
  • Chapter Summary
  • 17. Comparison
  • 17.1. Data for Comparisons
  • 17.2. Two-Sample z-test for Proportions
  • 17.3. Two-Sample Confidence Interval for Proportions
  • 17.4. Two-Sample T-test
  • 17.5. Confidence Interval for the Difference between Means
  • 17.6. Paired Comparisons
  • Chapter Summary
  • 18. Inference for Counts
  • 18.1. Chi-Squared Tests
  • 18.2. Test of Independence
  • 18.3. General versus Specific Hypotheses
  • 18.4. Tests of Goodness of Fit
  • Chapter Summary
  • Statistics In Action Rare Events
  • Statistics In Action Data Mining Using Chi-Squared
  • pt. FOUR Regression Models
  • 19. Linear Patterns
  • 19.1. Fitting a Line to Data
  • 19.2. Interpreting the-Fitted Line
  • 19.3. Properties of Residuals
  • 19.4. Explaining Variation
  • 19.5. Conditions for Simple Regression
  • Chapter Summary
  • 20. Curved Patterns
  • 20.1. Detecting Nonlinear Patterns
  • 20.2. Transformations
  • 20.3. Reciprocal Transformation
  • 20.4. Logarithm Transformation
  • Chapter Summary
  • 21. Simple Regression Model
  • 21.1. Simple Regression Model
  • 21.2. Conditions for the SRM
  • 21.3. Inference in Regression
  • 21.4. Prediction Intervals
  • Chapter Summary
  • 22. Regression Diagnostics
  • 22.1. Changing Variation
  • 22.2. Outliers
  • 22.3. Dependent Errors and Time Series
  • Chapter Summary
  • 23. Multiple Regression
  • 23.1. Multiple Regression Model
  • 23.2. Interpreting Multiple Regression
  • 23.3. Checking Conditions
  • 23.4. Inference in Multiple Regression
  • 23.5. Steps in Fitting a Multiple Regression
  • Chapter Summary
  • 24. Building Regression Models
  • 24.1. Identifying Explanatory Variables
  • 24.2. Collinearity
  • 24.3. Removing Explanatory Variables
  • Chapter Summary
  • 25. Categorical Explanatory Variables
  • 25.1. Two-Sample Comparisons
  • 25.2. Analysis of Covariance
  • 25.3. Checking Conditions
  • 25.4. Interactions and Inference
  • 25.5. Regression with Several Groups
  • Chapter Summary
  • 26. Analysis of Variance
  • 26.1. Comparing Several Groups
  • 26.2. Inference in Anova Regression Models
  • 26.3. Multiple Comparisons
  • 26.4. Groups of Different Size
  • Chapter Summary
  • 27. Time Series
  • 27.1. Decomposing a Time Series
  • 27.2. Regression Models
  • 27.3. Checking the Model
  • Chapter Summary
  • Statistics In Action Analyzing Experiments
  • Statistics In Action Automated Modeling.
Other information
  • Includes bibliographical references and index.
ISBN
  • 9780321836519 (alk. paper)
  • 0321836510 (alk. paper)
Identifying numbers
  • LCCN: 2012005942
  • OCLC: 780063824
  • OCLC: 780063824

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