Practical Statistics for Data Scientists, 2nd Edition by Gedeck, Peter -- Read -- Imperial Library of Trantor

Index

1. Exploratory Data Analysis

Elements of Structured Data

Further Reading

Rectangular Data

Data Frames and Indexes Nonrectangular Data Structures Further Reading

Estimates of Location

Mean Median and Robust Estimates 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 Frequency Table and Histograms Density Estimates Further Reading

Exploring Binary and Categorical Data

Mode Expected Value Probability Further Reading

Correlation

Scatterplots Further Reading

Exploring Two or More Variables

Hexagonal Binning and Contours (Plotting Numeric versus Numeric Data) Two Categorical Variables Categorical and Numeric Data Visualizing Multiple Variables Further Reading

Summary

2. Data and Sampling Distributions

Random Sampling and Sample Bias

Bias Random Selection Size versus Quality: When Does Size Matter? 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

Normal Distribution

Standard Normal and QQ-Plots

Long-Tailed Distributions

Further Reading

Student’s t-Distribution

Further Reading

Binomial Distribution

Further Reading

Chi Square Distribution