Lecture 8.4 - Discrete random variables - Probability mass function properties

[@kmishy]

This 30 minute content was already clear in Lecture 8.3 .

[@KANKSHMusic]

Thank you for saving my time

[@Charan_Teja]

@@KANKSHMusic There is some extra information. Do check it out. Around 15:06

[@harsh8515]

small request to IITm BSDS team please make a Hindi version of this week and upcoming weeks

[@reliefofcontentmusic7544]

Yes

[@waitForIt548]

16:04 From where the hell does that ugly expression come. Please provide intuition in such cases.

[@d.youtubr]

It's just an example.

[@Harmansin13]

Cansomekne explain me why in D.R.V the PMF that random varibale can fake values 0,1 and 2 in that the probability of each number not 1/3 instead ir is written 1/4,1/2,1/respectively

[@tejaskalluraya7788]

At 17:47 mam asks us to recall a formula. Was it thought in any lecture before?

[@ashutoshnarayan8643]

Nope

[@tejaskalluraya7788]

@@ashutoshnarayan8643 Then how do we learn it? How many more formulas like these do we need to learn on our own?No clarity

[@ashutoshnarayan8643]

@@tejaskalluraya7788 week 8 there is a video on infinite series... check that out

[@stumblebros99]

​@@ashutoshnarayan8643hey ..are u still continuing the degree

[@ashutoshnarayan8643]

@@stumblebros99 yes

[@Allrounder-Anurag]

Kya week 9 ka hindi content nhi hai

[@maitreya4144]

if Y takes the lesser value of the outcome, then why have we considered values which are equal? for eg: we took 1 form (1,1) or 2 from (2,2) here the values are equal and non of the value is lesser. then why did we consider this?

[@shyger778]

Is NIL a discrete random variable?

[@saranshsaini4870]

no

[@binayakbanerjee4238]

Poisson's distribution.

[@waitForIt548]

In which case p(x) = 0? It's always >0. how can it ever be 0?

[@SimpleSage19]

it's always less than or equals to 0, but never less than zero. 5:08