38) Identify the type of distribution pattern that occurs when the majority of the data values fall to the left of the mean? \( \begin{array}{ll}\text { A) symmetrical } & \text { B) negatively skewed } \\ \text { C) left skewed } & \text { D) positively skewed }\end{array} \)

When the majority of data values fall to the left of the mean, it indicates a distribution where the tail on the right side is longer or fatter. This is characteristic of a positively skewed distribution. In such a scenario, most values are concentrated on the lower end, while a few high outliers pull the mean in their direction, making it larger than the median. In practical situations, a positively skewed distribution can often be seen in income levels where many individuals earn lower salaries, but a few high earners significantly affect the average income. Understanding this concept helps in fields like economics and social sciences, where income and wealth data often exhibit this skewness.