Cumulative Distribution Function - Probability

A simple explanation of the Cumulative Distribution Function.

[qiruiwang]

Can't believe this video was uploaded 10 years ago! Can’t believe these functions can be explained in such a clear and simple way, this video is really helpful!

[anekotze]

Doing a Stats course for second semester of University during Covid. It sucks not having this module in person. This just helped me so much!

[ZachSmith]

I had no idea what CDF and PMF were until you explained it. So much simpler than I thought it was.

[BryanStetson]

I always watch statistics videos like this and think to myself "why the heck don't they just explain it like this in the textbook"
the math of statistics is easy it's just sorting through the notation and figuring out what the problem is actually asking that always screws me over
anyway, good vid

[paolab]

THANK YOU SO MUCH
first day of class, professor seems great. Second day, he starts mumbling about CDFs, giving half explanations etc. If I'll pass the class, it's definitely gonna be thanks to youtube, your videos and anyone else's I'll learn from in the next weeks.

[lifeatmemes]

this channel is officially YouTube's best kept secret...Keep up the good work & soon...this is the next big thing!

[cm_]

You've saved me man, my lecturer is pretty horrible, concepts never made sense the way he explained them, but they all come together with your explanations! So greatly appreciated <3

[YYZ]

Very useful indeed. I love how you combine example with both omf and cdf together and show the difference in between. Also, it is awesome that you apply those in questions and it really helps me a lot! Thank you for posting!

[Stiggy]

awesome stuff....38k $ for my masters degree, and most of it I understand through YouTube videos...:-(

[juliemallen]

Perfect teaching voice God has blessed you with the ability to transmit accurately the direct formula of explantion in theory to those who have learning disabilty's.
F(2)=P(Q=2)= P(t, t) the first 1/4+ P( t, h) being 1/4 =P(h, t) =1/4+ P(h, t) +P(h, h)

[mikkiwhistler]

i had so much trouble wrapping my head around these distribution functions ... reading all these theorems in the textbook with all these random set notations and complicated examples .... its so seeing them side by side with a simple example like this made it so clear and less daunting lol ... thank you <3

[jyotikavarmani]

Thank you very much. This explanation helped me progress by leaps and bounds from where I was stuck. And thanos for comparing CDF with PMF to make both concepts so distinctly clear.

[ACM]

Why do these obnoxiously priced text books tend to always make something seem like rocket science...

[vbhasvij]

Excellent article! In a glimpse removed the rust from the mind!

[AirMiloTakManis]

Fell asleep in class and missed this topic. Thank you for the video :D

[kenkr]

ur better at explaining than my lecturer bro, cheers

[KabooM]

Does any of this even matter in engineering? I hate statistics more than anything I ever studied in my life. I didn't go to engineering expecting to study it. I could pass it but it will murder my GPA brutally if I don't get higher than a B.

What's the probability of me getting higher than a B?
P( Grade>B) = 0

I despise this subject.

[jemiamina]

I really appreciate your benevolent job.

[danielchacreton]

"When X is a continuous random variable, the cdf, plotted as a function of x, has S-shaped appearance, like that in Figure 3.1(a). This suggests a class of models for binary responses whereby the dependence of π(x) on x has where F is a cdf for some continuous probability distribution." This is from a real intro to data analysis book. What student taking an INTRO class is going to make sense of this.



Thank you for this video. I might as skip the reading and just Youtube the section heading titles.

[vikhnaroobban]

quality video.. man u are the best.. i finally got this..