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The Managers Guide to Statistics, by Erol A. Peköz ()

BRIEF TABLE OF CONTENTS

1. Seeing the Real Story
2. Summarizing and Displaying Data
3. The Normal Curve
4. How to Tell a Statistical Story with a Graph
5. Correlation
6. Regression
7. Introduction to Multiple Regression
8. Probability
9. Sampling Variability and Standard Error
10. Confidence Intervals
11. Hypothesis Testing
12. Building Multiple Regression Models

DETAILED TABLE OF CONTENTS

Preface        
1 Seeing the Real Story        
1 Comparing Rates: Missing Denominators        
2 Comparing Two Groups: Confounding Factors    
3 Selection Bias and Survivor Bias        
4 Descriptive and Inferential Statistics       
5 Mathematical Summary             
6 Summary                 
7 Chapter Exercises            
More Challenging Exercises            

2 Summarizing and Displaying Data 
1 What Are Data?               
2 Bar Charts and Time Series Plots        
3 Histograms              
How to Draw a Histogram          
Properties of a Histogram          
Stem-and-Leaf Plot            
4 Interpreting Histogram Shapes           
5 Measuring the Center: The Mean, Median, and Mode  
6 Measuring Variability: Standard Deviation        
Technical note: Chebyshev’s Inequality         
7 Computing the Standard Deviation          
Technical notation            
8 Combining and Transforming Data          
Technical justification           
9 Uniform, Exponential, And Poisson Distributions      
10 Using Excel              
Drawing Histograms Using the Histogram Worksheet     
Drawing Histograms Using Standard Excel     
Computing Descriptive Statistics        
Mathematical Summary             
11 Chapter Exercises            
More Challenging Exercises            

3 The Normal Curve
1 Introduction              
2 Standard Units             
3 The Normal Curve            
4 Using the Normal Curve             
5 Chapter Exercises            
More Challenging Exercises            
Fun Problem: Monty Hall          

4 How to Tell a Statistical Story with a Graph 140
1 Introduction              
2 Examples                 
3 Chapter Exercises            

5 Correlation
1 Scatter plots                
2 The Correlation Coefficient            
3 Some Tricks the Correlation Coefficient Can Play On You 
Using Excel              
4 Computing the Correlation Coefficient         
How the formula works           
5 A Couple More Things to Watch Out For        
6 Technical Notes             
7 Chapter Exercises            
Fun Problem: Coin Flipping Patterns       

6 Regression 183
1 Introduction              
Technical Note: Computing the Slope and Intercept     
2 Some Things toWatch Out For           
3 More Examples             
Contents 7
4 Standard Error For a Regression Line         
5 Regression Toward theMean         
6 Using Excel              
7 Chapter Exercises            
Fun Problem: Betting on Red         

7 Introduction to Multiple Regression
1 Introduction              
2 The Multiple Regression Equation          
3 The Standard Error for the Regression Line     
4 Using Excel              
Using the Regression Worksheet included with this book    
Using the Analysis ToolPak included with Excel      
Technical Note             
5 The Multiple Correlation Coefficient       
Some properties of R              
An interpretation of R2             
6 Using Multiple RegressionModels          
7 Kitchen Sink Regressions          
8 Multicollinearity               
9 More on Dummy Variables            
Using Excel to create dummy variables         
10 Interaction Terms               
11 Fitting a Curve             
12 Case Study: US News Business School Rankings      
Background              
Questions                 
Analysis               
Summary                 
13 Chapter Exercises            
More Challenging Exercises            
Fun Problem: Two Sided Cards           

8 Probability
1 Introduction              
2 The Multiplication Rule             
Conditional versus unconditional probability     
3 Independent Events              
4 The Addition Rule            
8 Contents
5 Binomial Probabilities           
6 Gambling                 
7 Chapter Exercises            
Fun Problem: Bayes’ Rule          
9 Sampling Variability and Standard Error
1 Introduction              
2 The Law of Averages              
3 The Standard Error for a Sample Percentage       
Technical Note: The Finite Population Correction Factor    
4 The Standard Error for a Sample Average        
Why the formula for standard error works        
5 Chapter Exercises            

10 Confidence Intervals 331
1 The Central Limit Theorem            
Technical Notes             
2 Creating a Monte Carlo simulation          
3 Chapter Exercises            
Fun Problem: A Test for Nursery School Kids       

11 Hypothesis Testing
1 Introduction              
2 Null and Alternative Hypotheses        
3 Conducting a Hypothesis Test         
Significance levels               
Two-tailed versus one-tailed p-values       
Type I and Type II errors          
Another example               
4 Interpretation of the p-value            
5 Two-Sample Tests of Significance        
6 The t-Test                 
7 Statistical Significance versus Practical Importance   
8 Statistical Power               
9 Data Snooping             
Technical Notation            
10 Chapter Exercises            
Fun Problem: Rent-Free Space           

12 Building Multiple Regression Models
1 Introduction              
2 The Standard Error for a Regression Coefficient    
3 Building a Model               
Some frequently asked questions about building a regression model 407
Case Study: Locating New Pam and Susan’s Stores

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