A normalized distribution of scores has?

A normalized distribution of scores, often referred to as a normal distribution or bell curve, is characterized by its symmetrical shape with a single peak at the center. In this distribution, the mean, median, and mode all coincide at the center point, representing the most common value and the average of all scores.

This uniformity occurs because in a normal distribution, the data is distributed evenly around the mean, resulting in one peak and symmetric tails on both sides. As a result, the measures of central tendency—mean, median, and mode—are equal in value. This property is fundamental in statistics as it simplifies analysis and interpretation.

In contrast, other types of distributions may feature multiple peaks or variations among the mean, mode, and median, indicating levels of skewness or other complexities in the data. However, for a normalized distribution, the defining feature is its single peak with all measures of central tendency aligning, making the chosen answer accurate.