Statistics for Data Scientists · 50 Essential Concepts by Bruce, Peter -- Read -- Imperial Library of Trantor

Index

Preface

What to Expect Conventions Used in This Book Using Code Examples Safari® Books Online How to Contact Us Acknowledgments

1. Exploratory Data Analysis

Elements of Structured Data

Further Reading

Rectangular Data

Data Frames and Indexes Graph Data Further Reading

Estimates of Location

Mean Median and Robust Estimates

Outliers

Example: Location Estimates of Population and Murder Rates Further Reading

Estimates of Variability

Standard Deviation and Related Estimates Estimates Based on Percentiles Example: Variability Estimates of State Population Further Reading

Exploring the Data Distribution

Percentiles and Boxplots Density Estimates Further reading

Exploring Binary and Categorical Data

Mode Expected Value Further Reading

Correlation

Scatterplots

Exploring Two or More Variables

Hexagonal Binning and Contours (plotting numeric vs. numeric) Two Categorical Variables Categorical and Numeric Data Visualizing Multiple Variables Further Reading

Conclusion

2. Data and Sampling Distributions

Random sampling and sample bias

Bias Random Selection Size Versus Quality Sample Mean Versus Population Mean Further Reading

Selection bias

Regression to the mean Further Reading

Sampling Distribution of a Statistic

Central Limit Theorem Standard error Further Reading

The bootstrap

Resampling versus bootstrapping Further Reading

Confidence intervals

Further Reading

Student’s t distribution

Further Reading

Binomial distribution

Further Reading

Poisson and Related Distributions

Poisson Distributions Exponential distribution Inference Weibull distribution Further reading

Summary