Which graph effectively shows data distribution in intervals?

A histogram is the correct choice because it visually represents data distribution by displaying the frequency of data points that fall within specific intervals or ranges, known as bins. Each bin corresponds to a certain interval on the x-axis, and the height of each bar reflects the count of observations within that interval. This graphical representation allows for easy identification of patterns, trends, and the overall shape of the data distribution, such as its skewness or the presence of any gaps or clusters.

In contrast, a stem and leaf display organizes data points in a tabular format, displaying the distribution but not in the interval format of a histogram. A frequency table also provides counts of observations within specific intervals, but it does so in a textual format without the visual impact of a graph. Lastly, a Pareto diagram focuses on the frequency of categories arranged in descending order, often used for identifying significant issues in a process rather than showing data distribution in intervals. Thus, while other options may convey distribution information in different manners, the histogram is the most effective choice for representing data distribution in defined intervals visually.