Here's how you can analyze non-normally distributed data in statistical analysis.
When you're delving into data science, you'll often encounter datasets that don't follow a normal distribution—a bell curve. This might seem daunting at first, but it's a common scenario that you can handle with the right techniques. Non-normally distributed data can skew your statistical analysis if you apply methods designed for normally distributed data. Understanding how to analyze such datasets is crucial for accurate insights. This article will guide you through the process of dealing with non-normally distributed data, ensuring your analyses remain robust and reliable.