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Distinguishing between discrete vs. continuous data and situations that call for each data type is important in ensuring you get your desired results.
Key Points Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that depends on the measurements set. It allows you to quantify things ...
A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . . For example, stock prices are discrete random variables ...
Up until now, QA has almost exclusively been used to solve discrete-variable functions (functions that have discrete-valued variables). The potential of QA for optimizing continuous-variable ...
This paper presents an approach for representing functions of discrete variables, and their products, using logarithmic numbers of binary variables. Given a univariate function whose domain consists ...