Probability Density Function (PDF)-Properties of PDF (Random Variables and Probability Distribution)

In this video lecture, we will discuss what is Probability Density Function (PDF). Properties of probability density function (PDF) are also explained here along with their derivations.
As Probability density function is the derivative of Cumulative distribution function, therefore Cumulative distribution function (CDF) is also explained before describing the probability density function. The concept of sample space and random variable is also made clear here.

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[vineethkumarsiriyala]

U r
Utube lo naku telisi meede bagundi random variables topic...
Chala tqs

[shubham.saxena]

I have my exam on 6th dec.. it srsly helped me alot

[ekleanthony]

this video is super fantastic. You're amazing!

[s.prathigna]

Sir in 3rd property why u take limits from - infinity to x... Why couldn't we take limits as - infinity to +infinity

[inventindia]

Property 1: Is PDF always non-zero or non-negavtive??? Your statement says non-zero but statement says non-negative. Kindly clarify, thanks in advance....

[hkusuma]

sir where is the proof of 4 th property?

[rithiksudharshan]

In 6:17, while intergrating, why the limits are taken as -infinity to +infinity ????

[kasturibordoloi]

Sir, can I get the answer of questions no 4th the last one.

[EduScienceu]

Sir, make videos on hypothesis testing

[Vishal]

Why limits -infinite to x why not -infinite to + infinite

[Thegothicdude-ns]

agar hindi main banata to jyada accha hota vese bhi ye syllabus american ya eauropian deshon main nahi chalta jo tujhe bhot jyada RPM milega ! ! this hai !