Which description correctly characterizes a Normal distribution?

• A. A distribution that has a single peak and is skewed to the right.
• B. A distribution represented as a bell shape with symmetry and equal mean, median, and mode.
• C. A non-symmetric distribution with heavy tails.
• D. A uniform distribution across all values.

Answer: (B)

A Normal distribution is defined by a bell-shaped curve that is symmetric around its center. This symmetry means the left and right halves mirror each other, and because of that balance, the mean, median, and mode all occur at the same central value. That combination—bell shape, symmetry, and equality of those three measures—is what characterizes the Normal distribution.

Other descriptions don’t fit: a distribution that is described as having a single peak but skewed to the right is not symmetric, so it isn’t Normal. A non-symmetric distribution with heavy tails deviates from the bell shape and symmetry. A uniform distribution spreads probability evenly across values and lacks the centered, peaked pattern of a Normal curve.