# Probability Distribution Functions (PMF, PDF, CDF)

See all my videos at http://www.zstatistics.com/videos

0:00 Intro

0:43 Terminology defined

DISCRETE VARIABLE:

2:24 Probability Mass Function (PMF)

3:31 Cumulative Distribution Function (CDF) – discrete

CONTINUOUS VARIABLE:

7:00 Probability Density Function (PDF)

8:54 Cumulative Distribution Function (CDF) – continuous

source

"you cant roll a 7 on any dice I've seen" I see someone who has never played D&D before

. Thank for the video btw.

Great video – thank you!

Thanks for the video. Beautifully explained.

this was great

absolutely amazing

Thanks!

♥️♥️

Thank You😁

one of the best explanations of PDFs on the internet 🤩🤩

Thanks!

thanks

Best explanation make more vdos

This is awesome

Awesome video!

You're one of the best teachers sir…..

1:00 pmf

1:05 – 1:10

which is just a simple way of saying the probability of each discrete outcome

1:15 – 1:24

pdf which we use for continuous variables

1:37 – 1:44

now be careful about pdf because I have called this whole video probability distribution functions

1:44 – 1:53

some people might call all(inclued pmf ,pdf ,cdf) of these together as pdf which does get a bit confusing

1:54 – 2:02

i use pdf to mean the probability density function which relates solely to continuous variables

2:09 – 2:23 now both discrete and continuous variables can construct what is called a cumulative function

Masterpiece.

Dear Mr. Justin

I need your help and would you make a video on : Stochastic Processes: Definition and property of poison Process and Exponential Distribution, Computing exponentials, Renewal Process Results and Markov Chain Results

Very clear and nice explanation. Thank You.

Best video which I wanted thanks sir , take love ❤

Need a full course on statistics from this man

Nice video sir zedstatistics!

Really helpful! appreciate for distinguishing those buzzing term with clear graph

thanks gangsta

Bolna to seekh le

You are the best❤

Taking a data science class. This video came in handy and made understanding as easy as ABC

I am an engineer in the domain of signal and system and trying to learn about estimation theory. It was giving me headache. You r a life savior……..lots of admiration and love from India

Thank you for this video.

Can you please make a series on optimizing convex problems, lagrangian dual/primal problems, etc….