The probability distribution is skewed to the right since the mean is greater than the median, this indicates a right skew in the probability distribution.
To compare the mean and median and understand the shape of a probability distribution, we need to first recall that if a distribution is skewed to the right (positive skew), the mean is typically greater than the median. Conversely, if a distribution is skewed to the left (negative skew), the mean is typically less than the median. A symmetric distribution has a mean and a median that are close or the same. Without the actual probability distribution values, we rely on the given relationship between the mean and median. Since the question mentions pex = 23.8, we can assume it refers to the mean, though the notation is not standard.
In this case, the correct answer will be the one where the mean is either greater than or less than the median, depending on the skewness described. Answer B represents the correct relationship for a right-skewed distribution: the mean is greater than the median. Therefore, we can infer that the shape of the probability distribution is skewed to the right.