Probability

# Probability - Probability In this last application of...

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Probability In this last application of integrals that we’ll be looking at we’re going to look at probability. Before actually getting into the applications we need to get a couple of definitions out of the way. Suppose that we wanted to look at the age of a person, the height of a person, the amount of time spent waiting in line, or maybe the lifetime of a battery. Each of these quantities have values that will range over an interval of integers. Because of this these are called continuous random variables . Continuous random variables are often represented by X . Every continuous random variable, X , has a probability density function , . Probability density functions satisfy the following conditions. 1. for all x . 2. Probability density functions can be used to determine the probability that a continuous random variable lies between two values, say a and b . This probability is denoted by and is given by, Let’s take a look at an example of this. Example 1

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Probability - Probability In this last application of...

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