Cdf vs pdf
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While it flips through space, what could you possibly say about its future? Say you were to take a coin from your pocket and toss it into the air.
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The probability density function is the statistical function that defines the probability distribution of a continuous random variable.
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Another example is the random possible outcome while rolling a dice which is one among the following (1,2,3,4,5,6).The random variable is of two types viz.,Ī discrete random variable is variable which takes the numerical outcome of the chance event or any countable number of possible values. Let us consider the example of flipping a coin once, wherein the possible outcome is either a head or tail denoted by 1 and 0 respectively. It is a variable that assumes numerical values associated with the random outcomes of an experiment where one (and only one) numerical value is assigned to each sample point. Probability distribution plays a vital role in the statistics and today we can see about the probability mass function, probability density function and the cumulative distribution function in simple english Random Variable :Ī random or stochastic variable is the result of a chance event, that you may measure or count.