Probability density and mass functions

[@annapieroni1865]

Thank you for the very clear explanation! I never took a stats class, so online resources like this help me survive upper division CS and ME classes. Much needed for fluids labs and speech processing!

[@bryan6aero]

Thanks. This explanation was very clear, concise, and helpful.

[@intelligentsystemslab907]

Glad it was helpful!

[@parmisbathaeiyan9955]

You’re my guardian angel

[@Anandhu-X]

4:37
Say if the p(X=4)=0.5
What is the interpretation of this exact statement?
Could it be that the probability of x occurring arbitrarily close to 4 is 50%?

[@mohammadpourheydarian5877]

Very beautiful. Thank you.

[@mr.p2665]

Underrated channel

[@melontusk7358]

Just brilliant.

[@raideryvs5595]

Great explanation !

[@mandelbro777]

Very well explained. You're communications clarity is exceptional.
You deserve more Subs ... if only the YT algorithm could select automatically for quality of content rather than existing quantity of traffic, you'd be on your way to orbit in this field.

[@ripequetzalcoatyl_08]

awesome video thanks

[@kvs123100]

One query! When we have countable infinite values, would that be considered as continuous distribution/setting?

[@intelligentsystemslab907]

No, that's still a discrete distribution. It has a probability mass function rather than a density function. The Poisson and geometric distributions are both examples of discrete distributions over a countable set.

[@kvs123100]

@@intelligentsystemslab907 thanks for the great explanation!

[@Anandhu-X]

Thank you

[@iTzTomy04]

You’re my guardian angel