In this lesson, we explore the concept of the area under the normal distribution in statistics. The normal distribution, also known as the Gaussian distribution, is one of the most important concepts in statistics and probability. We’ll break down how the area under the curve relates to probability, how to calculate it, and why it’s crucial for understanding statistical data. We’ll also look at practical applications of the normal distribution in real-world scenarios. By the end of this episode, you’ll have a solid understanding of how the normal distribution works and how to interpret the area under its curve in statistical analysis.