Cumulative geometric probability less than a value. TI geometpdf and geometcdf functions. Practice: Cumulative geometric probability. Proof of expected value of geometric random variable. Current timeTotal duration Google Classroom Facebook Twitter. Video transcript - [Instructor] What we're going to do in this video is learn how to use a graphing calculator, in particular a TI If you're using any other TI Texas Instrument calculator it'll be very similar in order to answer some questions dealing with geometric random variables.
So, here we have a scenario. I keep picking cards from a standard deck until I get a king. So this is a class geometric random variable here and it's important that in this parentheses it says I replace the cards if they are not a king and this important as we talk about on other videos because the probability of success each time can't change. And so we could define some random variable X this is a geometric random variable as being equal to the number of picks until we get a king. When we replace the cards if they are not a king.
And for this geometric random variable, what's the probability of success on each trial? See Also cdf geoinv geopdf geornd geostat mle Topics Geometric Distribution. This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are as essential for the working of basic functionalities of the website.
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These cookies do not store any personal information. Skip to content Search for:. Written by admin. This website uses cookies to improve your experience. Alright so I have my calculator now and I just need to type in geometpdf and then those parameters. This website uses cookies to improve your experience while you navigate through the website.
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Skip to content Menu. Posted on April 22, by Zach. The geometric distribution describes the probability of experiencing a certain number of failures before experiencing the first success in a series of trials that have the following characteristics: There are only two possible outcomes — success or failure.
The probability of success is the same in each trial.
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