Probability Distribution of a Continuous Random Variable
{"Image DocumentName": "Probability Distribution of a Continuous Random Variable", "Image ImageDescription": "Since random variables can take on an infinite number of values, the fundamental rules for continuous random variables must be modified. The sum of the probability values must still equal 1. The probability of each individual value of the random variable occurring must equal 0 or the sum would be infinitely large. The probability distribution is defined by a continuous mathematical function called the probability density function or just the probability function. This is represented by f (X). Copyright \u00a92012 Pearson Education, Inc. publishing as Prentice Hall.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}