Final answer:
A data set with more extremely large data values is said to be skewed right or positively skewed. This describes a distribution where the tail on the right side is extended due to a few high extreme values.
Step-by-step explanation:
If a data set has more extremely large data values, the distribution is said to be skewed right or positively skewed. This occurs because the tail of the distribution on the right-hand side is longer or more drawn out compared to the left-hand side.
In a right-skewed distribution, the mean is typically larger than the median, and the mode lies to the left of the median. This asymmetry indicates a larger number of lower values and a few extreme higher values in the data set. For example, if we have a data set with the histogram showing a longer tail on the right, it suggests there are some very large values stretching the scale, resulting in a skewed right distribution.