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in this video were going to be finding the cumulative distribution function from a probability density function the purpose of this is if we have a probability density function such as this lets say thats between 2 5 then our cumulative distribution function will be a different function that will tell us the cumulative probability up to a certain value so whatever we input into our function will tell us the cumulative probability up to that point now these can get pretty complicated so Im going to do two examples of different types the first example that Im going to do is where there is only one function in the PDF the second example that Im going to do is where there is more than one function in the PDF and this can be a little or a lot more complicated and there a lot more room for error on these ones so well be going through that one after the first one right so lets get to our our first example first examples a nice simple one weve just got a straight straight line grap