ABSTRACT
Many research studies in education, psychology, and business involve variables that are measured at the interval or ratio scale of measurement. Interval scaled variables do not have a true zero point. Ratio scaled data, in contrast, has a true zero point. Examples of interval or ratio scaled variables include height, weight, age, blood pressure, temperature, time, distance, number of sales, and amount of product used in production. Variables measured on an interval or ratio scale are typically treated as continuous data. The continuous probability distribution is used to study variables that are treated as continuous rather than dichotomous data. The Monte Carlo technique simulates these continuous random variable probability distributions.
