Summary

Inferential statistics are essential for making predictions and drawing conclusions about a population based on sample data. By using techniques such as hypothesis testing, confidence intervals, and regression analysis, we can go beyond merely describing the data to make informed decisions. SQL plays a crucial role in preparing and manipulating data for these statistical analyses, making it an invaluable tool for data analysts and researchers. Whether we are testing hypotheses, calculating confidence intervals, or performing regression analysis, SQL provides the foundation for robust inferential statistics.

In Chapter 14, you’ll put these concepts into practice through a comprehensive, real-world exercise that ties together many of the techniques introduced throughout the book. Using SQL as your analytical engine, you’ll explore a structured data scenario that mirrors the workflow of a modern analytics system, covering everything from data preparation to...