6.1 The Continuous Probability Distribution

A probability distribution is termed continuous if its underlying random variable imgis continuous, that is, if imgcan assume an infinite or uncountable number of real values over some interval. Such variables are “measured” in terms of distance, temperature, weight, time, and so on. For instance, img= time between arrivals of vehicles at a toll booth is a continuous random variable. Also, if two points imgand imgare chosen at random on a real line segment of length L (Fig. 6.1), then the distance img(the absolute value1 of imgminus img), imgcan assume an infinite number of values ...

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