I'm a bit confused with t vs x? So, when you start using t you said it's because it makes it less confusing but within the interval, it's still x as the variable, which makes me think they ARENT the same? Idk maybe im overthinking it
You are thinking of the pdf which is the function f(x), which for t>2 is equal to 0. However, with the cdf, F(t), you're not measuring the value of the f(x), you're finding the integral of f(x) on the interval negative infinity to t. Because it includes all probability, the integral of f(x) on the interval negative infinity to t for t>2 must always equal 1.
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I'm a bit confused with t vs x? So, when you start using t you said it's because it makes it less confusing but within the interval, it's still x as the variable, which makes me think they ARENT the same? Idk maybe im overthinking it
The only correct explanation on youtube:)
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Thanks! Glad you found this video to be helpful!
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How to find joint density function from cumulative distribution function
Great explanation
but why t at 10:16 is less than 0. Why not t less than or equal to 0 (t
I think you can do it that way, but I don't think it matters if you use (
@@091MW2 Thank you
Please give u more lecture
Why was t>2 = to 1? Why not 0?
You are thinking of the pdf which is the function f(x), which for t>2 is equal to 0. However, with the cdf, F(t), you're not measuring the value of the f(x), you're finding the integral of f(x) on the interval negative infinity to t. Because it includes all probability, the integral of f(x) on the interval negative infinity to t for t>2 must always equal 1.
Obrigado
Awesome
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