The exponential distribution is the correct answer because it is positively skewed, with many observations clustered near lower values and a long tail extending to the right. In such a distribution, the mean is pulled to the right by the tail, which results in more observations falling below the average than above it. This is different from a Gaussian distribution, which is symmetric and has equal balance around the mean. Binomial and hypergeometric distributions may take different shapes depending on their parameters, but they are not generally identified by the specific property described in the question. In Six Sigma Measure Phase applications, the exponential distribution is commonly associated with waiting times, time between events, and reliability-type processes. Because its shape is strongly right-skewed, the average is not the midpoint of the data in the way it is for a normal distribution. This makes the statement in the question characteristic of exponential behavior. Therefore, the correct answer is B, Exponential, because its skewed form causes a majority of observations to lie below the mean while relatively fewer high values extend the distribution to the right.