Inferential Statistics

Over the past two weeks, we’ve laid the foundation for understanding inferential statistics — from its core principles to real-world applications and limitations. Now it’s time to build out the toolbox and explore the key techniques that make inferential statistics a practical part of your analytical approach. These methods help us compare groups, test hypotheses, […]

Last week, we explored the what and why of inferential statistics, diving into its core principles and significance. This week, let’s turn theory into practice by uncovering how inferential statistics are applied in real-world scenarios — and the limitations analysts must navigate when using them. Inferential statistics enable us to go beyond the immediate data […]

In previous posts, we explored the role of descriptive statistics in summarizing data and how correlation matrices can reveal connections between variables. Now, we’ll advance to the next stage: analyzing sample data to understand the broader population. This is where inferential statistics come into play, allowing us to make forecasts, test theories, and draw significant […]