Think Stats, 2nd Edition

Table of contents

1. Preface
   1. How I Wrote This Book
   2. Using the Code
   3. Contributor List
   4. Safari® Books Online
   5. How to Contact Us
2. 1. Exploratory Data Analysis
   1. A Statistical Approach
   2. The National Survey of Family Growth
   3. Importing the Data
   4. DataFrames
   5. Variables
   6. Transformation
   7. Validation
   8. Interpretation
   9. Exercises
   10. Glossary
3. 2. Distributions
   1. Representing Histograms
   2. Plotting Histograms
   3. NSFG Variables
   4. Outliers
   5. First Babies
   6. Summarizing Distributions
   7. Variance
   8. Effect Size
   9. Reporting Results
   10. Exercises
   11. Glossary
4. 3. Probability Mass Functions
   1. Pmfs
   2. Plotting PMFs
   3. Other Visualizations
   4. The Class Size Paradox
   5. DataFrame Indexing
   6. Exercises
   7. Glossary
5. 4. Cumulative Distribution Functions
   1. The Limits of PMFs
   2. Percentiles
   3. CDFs
   4. Representing CDFs
   5. Comparing CDFs
   6. Percentile-Based Statistics
   7. Random Numbers
   8. Comparing Percentile Ranks
   9. Exercises
   10. Glossary
6. 5. Modeling Distributions
   1. The Exponential Distribution
   2. The Normal Distribution
   3. Normal Probability Plot
   4. The lognormal Distribution
   5. The Pareto Distribution
   6. Generating Random Numbers
   7. Why Model?
   8. Exercises
   9. Glossary
7. 6. Probability Density Functions
   1. PDFs
   2. Kernel Density Estimation
   3. The Distribution Framework
   4. Hist Implementation
   5. Pmf Implementation
   6. Cdf Implementation
   7. Moments
   8. Skewness
   9. Exercises
   10. Glossary
8. 7. Relationships Between Variables
   1. Scatter Plots
   2. Characterizing Relationships
   3. Correlation
   4. Covariance
   5. Pearson’s Correlation
   6. Nonlinear Relationships
   7. Spearman’s Rank Correlation
   8. Correlation and Causation
   9. Exercises
   10. Glossary
9. 8. Estimation
   1. The Estimation Game
   2. Guess the Variance
   3. Sampling Distributions
   4. Sampling Bias
   5. Exponential Distributions
   6. Exercises
   7. Glossary
10. 9. Hypothesis Testing
    1. Classical Hypothesis Testing
    2. HypothesisTest
    3. Testing a Difference in Means
    4. Other Test Statistics
    5. Testing a Correlation
    6. Testing Proportions
    7. Chi-Squared Tests
    8. First Babies Again
    9. Errors
    10. Power
    11. Replication
    12. Exercises
    13. Glossary
11. 10. Linear Least Squares
    1. Least Squares Fit
    2. Implementation
    3. Residuals
    4. Estimation
    5. Goodness of Fit
    6. Testing a Linear Model
    7. Weighted Resampling
    8. Exercises
    9. Glossary
12. 11. Regression
    1. StatsModels
    2. Multiple Regression
    3. Nonlinear Relationships
    4. Data Mining
    5. Prediction
    6. Logistic Regression
    7. Estimating Parameters
    8. Implementation
    9. Accuracy
    10. Exercises
    11. Glossary
13. 12. Time Series Analysis
    1. Importing and Cleaning
    2. Plotting
    3. Linear Regression
    4. Moving Averages
    5. Missing Values
    6. Serial Correlation
    7. Autocorrelation
    8. Prediction
    9. Further Reading
    10. Exercises
    11. Glossary
14. 13. Survival Analysis
    1. Survival Curves
    2. Hazard Function
    3. Estimating Survival Curves
    4. Kaplan-Meier Estimation
    5. The Marriage Curve
    6. Estimating the Survival Function
    7. Confidence Intervals
    8. Cohort Effects
    9. Extrapolation
    10. Expected Remaining Lifetime
    11. Exercises
    12. Glossary
15. 14. Analytic Methods
    1. Normal Distributions
    2. Sampling Distributions
    3. Representing Normal Distributions
    4. Central Limit Theorem
    5. Testing the CLT
    6. Applying the CLT
    7. Correlation Test
    8. Chi-Squared Test
    9. Discussion
    10. Exercises
16. Index
17. Colophon
18. Copyright