Engineering statistics continuous variable

For certain types of stochastic or random-variable problems, the sequence of events may be of particular importance. Statistical information about expected values or moments obtained from plant experimental data alone may not be sufficient to describe the process completely. In these cases, computet simulations with known statistical iaputs may be the only satisfactory way of providing the necessary information. These problems ate more likely to arise with discrete manufactuting systems or solids-handling systems rather than the continuous fluid-flow systems usually encountered ia chemical engineering studies. However, there ate numerous situations for such stochastic events or data ia process iadustries (7—10). 

In most engineering applications, the updating concern is on continuous-valued uncertain parameters with measurements of continuous-valued variables. Even though there is quantization for the measurements, it is more convenient to treat them as continuous-valued variables and probability density functions are used to characterize their statistical behavior. With the same treatment for event B, event A can also represent the occurrence of another parameter vector ... 

Once these variables are defined, they can continue to be used throughout the woilcspace. The user interface is largely intuitive, as indicated by the what you see is what you get design. Typical trigonometric, statistic, and algebraic functions are built-in within Mathcad. Furthermore, Table 5.2 lists some other common engineering math functions and the Mathcad syntax. 

---