The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The book gives a rigorous treatment of the elementary concepts in statistical inference from a classical frequentist perspective. After reading this book and performing the exercises, the student will understand the basics of hypothesis testing, confidence intervals and probability.
This open book is licensed under a Creative Commons License (CC BY-NC-SA). You can download Statistical inference for data science ebook for free in PDF format (2.9 MB).
Table of Contents
Some common distributions
t Confidence intervals
The bootstrap and resampling
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