Lec-24: Normal Distribution | Probability and Statistics

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[@rishabhkeshri1854]

bhut aache sai concept clear kr diye sir, kal ke paper ke liye 😍

[@op_om_parmar]

Thank you Sir for your explanation ❤❤

[@niteshparik6734]

Great video Sir

[@riyajangid5567]

Thanks sir, it was very well explained.

[@amankumaramar271]

Thank you so much sir

[@pvlofi2763]

Sir, Please explain pmf and pdf in detail and how to find mean, variance and standard deviation from the formula so that we can get more clarity on the topics. Like Gajendra Purohit sir, he has explained the distribution topics very well.
Overall I liked your explanation and found it helpful. 😊
Thank You Sir 🙏❤️

[@foodtips544]

Iss lecture mei 1% kuch smjh ni aaya ...na pmf pdf pdhaya kuch sir-per hi nhi ek dusre se.. ekdum se aake bookish lang boldi bss rati ratayi

[@apurva8788]

Thankq sir🙏🏻

[@ajay_shorey]

Hello sir, i think z value indicates all the area which is to the left of it
but in the examples you have considered from 0 to that particular no.
In example 2 @12:00, you have added 0.5 to the z score for 130 which was not required i think.
Z score already showed everything which is less than and equal to 130.
please clarify if i am wrong or not so as to use the correct concept in the exam.

[@readingnlearning176]

😅

[@readingnlearning176]

Actually we have to find for X

[@Aman-ko1gt]

i think you r right

[@readingnlearning176]

@@Aman-ko1gt who ?

[@Gate_CS_aspirant]

@@readingnlearning176 Oh yes yes bro thanks for the explaination!!

[@redwords0712]

Sir hame z ki value yaad rakhni pdegi kya ???

[@Gate_CS_aspirant]

Second example me 0.5 kaha se agya sir last me?

[@sahirmohammad9027]

puri curve 2 halfs mei divide ho rha hai, right half hoga 0

[@shubhamdubey7718]

​​​@@sahirmohammad9027 Lekin agar right wala part 0.4772 hai to left wala part bhi 0.4772 (-2

[@kushalgokhale9114]

PDF is probability distribution function. This is okay. But probability distribution function of what?

[@uddeshyakumar4365]

PDF of a normal distribution

[@aryantawte3438]

PDF is a curve for continuous RV (Just like we have PMF for discrete random variable) which gives me probability density for a value x which is denoted by P(X=x), Here X is a continuous RV . Yeah he hasn’t explained that😅. I am not sure whether these videos are sufficient enough to crack probability and stats part of Gate DA.

[@Aviralmaini]

It's probability density function

[@shuv9523]

PDF is the derivation of CDF

[@JKarmygirl]

@@aryantawte3438 I have a request for you. I am preparing for my second-semester exam from TH-cam. If you can recommend some reliable sources for preparation it will be og my great help...

[@MaliksulmanAwan-n4x]

Sir... I want your notes..how can i get?

[@Barsha_Priyadarsini_Mallick]

This tabular value doesn't match with mine 😢

[@rahulbapat8935]

Air do we have to memorize the table?

[@ashmitbhattacharjee3264]

No it will be given in the question

[@ankush94gamer28]

Sir please discrete mathematics bsc it students ke liye lec laao na please

[@_sanskriti903]

Y table milti h ?

[@devanshgoel3433]

Yup! Otherwise, they will give at least value of P(Z).

[@Ziyan-jg2wc]

Numerical questions ban jata hai but theory nhi banta hai mera exam me sirf theory puchha ja raha hai😢

[@vivek6119]

mithha he kya nibbe

[@Therealdragontamer]

Pls make in English as I use captions

[@guddikumari3264]

Thank you so much😊 sir

[@hayaabbasi-qn4ym]

Great video Sir

[@Engineer78206]

great video sir