What shape does a normal distribution graph typically have?

A normal distribution graph is characterized by its bell shape. This shape reflects the symmetrical nature of a normal distribution, where most of the data points cluster around the mean, with fewer data points as you move away from the mean in either direction. The highest point on the graph represents the mean, and as you move away from it, the curve gradually decreases, leading to the characteristic bell appearance. This shape indicates that values close to the mean are more common, while extreme values in either tail are less frequent. The bell curve is fundamental in statistics because it applies to many natural phenomena and is essential for inferential statistics, hypothesis testing, and modeling.