Understanding the World

1.4. Understanding the World

In this stage of the lifecycle, we draw conclusions about our larger population, and sometimes even the world. The challenge is that our data are typically a relatively small sample compared to our population. To draw conclusions about the population, we use statistical techniques like A/B testing, confidence intervals, and simulation. We also use models like linear or logistic regression. This stage is relevant when our research questions are inferential or predictive. Our goal in this stage of the lifecycle is to quantify how well we think the trends we find in our sample can generalize.