A relative frequency distribution is a calculation that takes the number of observations from each class and divides them by the total number of observations, in order to display the proportion for each class (Donnelly, 2013). In this case, the relative frequency distribution for the types of clients is; work in local business (0.336), attending sporting event (0.242), live in area (.231), attending convention (0.126), and vacationing in area (0.064). The relative frequency distribution for the reasons for returning is; quality of food (0.280), quality of service (0.260), meal prices fair (0.190), ability to make reservations (0.150), and accommodate large groups (0.120). These calculations represent the proportion between the observations in each class to the total number of observations in the frequency distribution. For instance, the type of client’s data shows us that 33.6% of clients that attend Mi Casa Front Porch restaurant are people who work in local businesses. The reasons for returning data shows us that 28% of people return because the quality of food. Based on the results from the relative frequency distribution, people that work in local businesses and live in the area only make up 56.7% of the total type of client’s that attend