Which distribution is described as scores piling up on the left side and tapering off to the right?

Which distribution is described as scores piling up on the left side and tapering off to the right?

• A. Positively skewed distribution
• B. Negatively skewed
• C. Normal distribution
• D. Uniform distribution

Answer: (A)

Skewness describes where most scores cluster and where the tail extends. If the bulk of the data pile up on the lower end (left) and the tail tapers off to the higher end (right), the distribution is positively skewed. This matches the description of scores piling up on the left with a taper to the right. A negatively skewed distribution would have more scores on the high end with a longer tail to the left. A normal distribution is symmetric and bell-shaped, while a uniform distribution shows data spread evenly with no clustering.

Skewness describes where most scores cluster and where the tail extends. If the bulk of the data pile up on the lower end (left) and the tail tapers off to the higher end (right), the distribution is positively skewed. This matches the description of scores piling up on the left with a taper to the right. A negatively skewed distribution would have more scores on the high end with a longer tail to the left. A normal distribution is symmetric and bell-shaped, while a uniform distribution shows data spread evenly with no clustering.