What type of distribution illustrates the frequency of outcomes for a specific random variable sample?

The correct choice to illustrate the frequency of outcomes for a specific random variable sample is frequency distribution. A frequency distribution organizes data to show how often each different value occurs in a dataset. It provides a straightforward way to see the distribution of values and understand the characteristics of the sample.

In a frequency distribution, the data points are typically categorized into intervals or bins, with each category representing the count of occurrences of outcomes that fall within that range. This allows researchers and analysts to visualize and summarize the data effectively, enabling insights into the overall structure of the dataset.

Each of the other options represents different concepts. A cumulative distribution, for example, shows the cumulative frequency of outcomes up to a certain point rather than the frequency of specific values. Probability distribution encompasses both discrete and continuous distributions that describe the likelihood of various outcomes, not strictly the frequency of occurrences. Meanwhile, a uniform distribution indicates a situation where all outcomes have the same probability, which does not necessarily detail the frequency of individual outcomes within a dataset.