Books & Videos

Table of Contents

  1. Chapter 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

  2. Chapter 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

  3. Chapter 3 Probability Mass Functions

    1. Pmfs

    2. Plotting PMFs

    3. Other Visualizations

    4. The Class Size Paradox

    5. DataFrame Indexing

    6. Exercises

    7. Glossary

  4. Chapter 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

  5. Chapter 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

  6. Chapter 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

  7. Chapter 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

  8. Chapter 8 Estimation

    1. The Estimation Game

    2. Guess the Variance

    3. Sampling Distributions

    4. Sampling Bias

    5. Exponential Distributions

    6. Exercises

    7. Glossary

  9. Chapter 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

  10. Chapter 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

  11. Chapter 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

  12. Chapter 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

  13. Chapter 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

  14. Chapter 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