How to find CDF from the PDF

[@caitlin1882r]

You're a life saver!!!! 1 hour before exam and you helped me understand it perfectly! Thank you!

[@Chandulal_2078]

I have Watched just 30 minutes before exam. Thank you, I understood how to do it.

[@goochipoochie]

"It gets very confusing when you have a lot of exes, it is just easier to have tea" -Stats4everyone

[@shivikabahri7113]

Omg🥺☹you made it look so easy....thankyou so much...I really appreciate your efforts ❤

[@Stats4Everyone]

My pleasure 😊

[@SurajKumar-bw9oi]

The only correct explanation on youtube:)

[@euphoriansunrise]

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[@henryfayol6667]

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[@Stats4Everyone]

Thank you! 😁

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[@Stats4Everyone]

Awesome! Thanks so much for the support!!!

[@imanmukhopadhyay1135]

Thank you so much, you explained it so well that I could build a good basic concept.

[@litan196]

Nice talk, very clearly

[@vanessamcgrew4486]

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

[@Stats4Everyone]

x and t are both values for the same random variable. I just didnt want to intergrate over x, and then plug x back in... some students get confused about plugging in x for x.... sorry if this confused you... though they are values for the same random variable.

[@jacobm7026]

Someone learned color coding from Sal Kahn it seems :D Good work!

[@TN-wh3yf]

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[@Stats4Everyone]

Thanks! Glad you found this video to be helpful!

[@Inamullahkhan6294]

Excellent explanation

[@sajjadulhaq4136]

Love this lecture

[@jalenvillena1801]

Thank you! Very helpful!

[@hardiksharma7100]

simply awesome 😇

[@TheJoker-tm8kq]

How to find joint density function from cumulative distribution function

[@phurinatpuekkham8979]

Great explanation but why t at 10:16 is less than 0. Why not t less than or equal to 0 (t

[@091MW2]

I think you can do it that way, but I don't think it matters if you use (

[@phurinatpuekkham8979]

@@091MW2 Thank you

[@eruditionchn1176]

Please give u more lecture

[@veggiekeller]

Why was t>2 = to 1? Why not 0?

[@kylebunten3121]

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.

[@munyaradzindumeya5444]

Obrigado

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[@eruditionchn1176]

Awesome

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DM me I want private classes to pdf cdf