Question

which of these best describes the shape of the distribution? choose 1 answer: a roughly symmetric b skewed left c skewed right

Explanation:

To determine the shape of a distribution:

• A roughly symmetric distribution has data balanced around a central point, with similar spread on both sides.
• A left - skewed (skewed left) distribution has a longer tail on the left side, meaning most of the data is on the right and the tail extends to the left.
• A right - skewed (skewed right) distribution has a longer tail on the right side, meaning most of the data is on the left and the tail extends to the right.

Since the question is about the shape of a distribution, and if we assume the distribution (even though the visual is not fully shown, but from the options and typical understanding), if the data is balanced around a center (no long tail on either side), it is roughly symmetric. If there was a long tail on the left, it would be skewed left, and on the right, skewed right. Since the option A is "Roughly symmetric", and assuming the distribution is symmetric (as it's a common case for such questions when the other skew options are not appropriate), the best description is roughly symmetric.

Answer:

A. Roughly symmetric