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Probability 9 Online
OpenStudy (anonymous):

suppose x has a binomial b (2, 0.5) distribution. calculate f x ( t ) for any t .

OpenStudy (anonymous):

Do you mean \(f_x(t)\)? And if so, what does that mean? PDF? CDF?

OpenStudy (anonymous):

yes, i meant that i don't know what do you mean by pdf, cdf

OpenStudy (anonymous):

"PDF" stands for "probability density function" (which is also known as a mass function). This tells you the probability that a random variable with a given distribution takes on a certain value. "CDF" refers to the "cumulative distribution function." So where the PDF tells you the probability, like \(P(X=k)\) (i.e. the random variable \(X\) takes on the value \(k\)), the CDF tells you teh value of \(P(X\le k)\) i.e. all the probabilities up to \(X\) taking on \(k\)).

OpenStudy (anonymous):

Generally, \(f_x\) refers to the PDF of a random variable \(X\).

OpenStudy (anonymous):

Thanks for these information!

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