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Dicrete probability ddensity function is the type of a random variable that deals with countable domain
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APPLIED MATHEMATICS DISCRETE RANDOM VARIABLE
Properties of a discrete random variable If is a random variable , then Example Given that a coin is thrown three times and is the number of heads that are obtained
H T H H T H T H T H T T H T
The above information can be best illustrated in table form The mean of a discrete random variable The mean of a discrete random variable is sometimes called expectation denoted by and is given by
Example A random variable x has the following distribution Find the mean and variance of x Solution
Example : The random variable x takes integral values only and has a pdf . Find • The value of constant k • Variance of Solution
Example A discrete random variable X has a pdf as shown in the table below. Determine • The value of constant a
Example The discrete random variable X has a pdf Where k is a constant. Given that the expectation of is 3. Find • The value of n and the constant k. • The median of variance of Solution
From From series
From series 2 Equation 2 divided by one
Cumulative Mean Function The cumulative mean function of a discrete random variable is given by The median is the smallest value of for which Where is the cumulative function
Let since the median is
Properties of mean Properties of variance