Normal distribution is a statistical concept that describes how data points are spread out in a symmetrical, bell-shaped curve. In this distribution, most values cluster around the average, or mean, while fewer values appear as you move away from the center. This pattern is common in many real-world situations, such as heights of people or test scores, where most individuals fall near the average. The normal distribution is important because it helps statisticians understand and predict outcomes. For example, in a classroom setting, if the test scores follow a normal distribution, teachers can identify how many students performed above or below average, aiding in tailored instruction and support.