Robert A. Stine, Dean Foster

Statistics for Business: Decision Making and Analysis (eBook, PDF)

Pearson New International Edition

• Format: PDF

Produktbeschreibung

Statistics for Business: Decision Making and Analysis

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Produktdetails

• Verlag: Pearson HigherEducation
• Seitenzahl: 944
• Altersempfehlung: ab 18 Jahre
• Erscheinungstermin: 23. Mai 2014
• Englisch
• ISBN-13: 9781292036564
• Artikelnr.: 41940003

Inhaltsangabe

Preface
Index of Application
 
PART 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 The 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
 
PART 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 O rganizing Probabilities
8.4 O rder 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. The Normal Probability Model
12.1 Normal Random Variable
12.2 The Normal Model
12.3 Percentiles
12.4 Departures from Normality
   Chapter Summary
   Statistics in Action: Managing Financial Risk
   Statistics in Action: Modeling Sampling Variation
 
PART 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
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