Which term describes a distribution that is not symmetrical?

Which term describes a distribution that is not symmetrical?

• A. Skewed data
• B. Normal distribution
• C. Box plot
• D. Interquartile range

Answer: (A)

Skewness describes a distribution that isn't symmetric. When data are skewed, one tail is longer than the other, so the left and right sides don’t mirror each other. A normal distribution is the example of symmetry, where the two sides match. A box plot visualizes data and quartiles, but it doesn’t define symmetry by itself, and the interquartile range measures just the spread of the middle 50% of the data, not how symmetric the shape is. So the term that best fits a distribution that is not symmetrical is skewed data.

Skewness describes a distribution that isn't symmetric. When data are skewed, one tail is longer than the other, so the left and right sides don’t mirror each other. A normal distribution is the example of symmetry, where the two sides match. A box plot visualizes data and quartiles, but it doesn’t define symmetry by itself, and the interquartile range measures just the spread of the middle 50% of the data, not how symmetric the shape is. So the term that best fits a distribution that is not symmetrical is skewed data.