RANDOM VARIABLES:
A continuous random variable is not defined at specific values. Instead, it is defined over an interval of values, and is represented by the area under a curve (in advanced mathematics, this is known as an integral).
EXAMPLES:
Height, weight, the amount of sugar in an orange, the time required to run a mile.
RANDOM PROCESS OR STOCHASTIC PROCESS :
A random process is a time-varying function that assigns the outcome of a random experiment to each time instant: X(t).
EXAMPLES:
Stock market and exchange rate fluctuations; signals such as speech; audio and video; medical data such as a patient's EKG, EEG, blood pressure or temperature; and random movement such as Brownian motion or random walks.
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