Building Statistical Models in Python

Table of Contents

Preface

Part 1: Introduction to Statistics

1

Sampling and Generalization

Software and environment setup

Population versus sample

Population inference from samples

Randomized experiments

Observational study

Sampling strategies – random, systematic, stratified, and clustering

Probability sampling

Non-probability sampling

Summary

2

Distributions of Data

Technical requirements

Understanding data types

Nominal data

Ordinal data

Interval data

Ratio data

Visualizing data types

Measuring and describing distributions

Measuring central tendency

Measuring variability

Measuring shape

The normal distribution and central limit theorem

The Central Limit Theorem

Bootstrapping

Confidence intervals

Standard error

Correlation coefficients (Pearson’s ...