Which feature describes skewed data?

Which feature describes skewed data?

• A. Symmetrical distribution
• B. Long tail on one side
• C. Uniform distribution
• D. Multiple peaks

Answer: (B)

Skewed data shows asymmetry in the distribution, with one side having a longer tail than the other. That long tail on one side indicates the data are pulled toward that end, so the distribution isn’t symmetric. This is exactly what the feature describes. If the tail goes to the right, it’s positively skewed; if it goes to the left, it’s negatively skewed. In contrast, a symmetric distribution has tails that look similar on both sides, a uniform distribution means the values occur with similar frequency across the range, and having multiple peaks describes a multimodal shape, not the one-sided tail that defines skewness.

Skewed data shows asymmetry in the distribution, with one side having a longer tail than the other. That long tail on one side indicates the data are pulled toward that end, so the distribution isn’t symmetric. This is exactly what the feature describes. If the tail goes to the right, it’s positively skewed; if it goes to the left, it’s negatively skewed. In contrast, a symmetric distribution has tails that look similar on both sides, a uniform distribution means the values occur with similar frequency across the range, and having multiple peaks describes a multimodal shape, not the one-sided tail that defines skewness.