Nishant ji नमस्कार मैं एक इनकम टैक्स अधिकारी हूं , आप ने जिस तरह से probability को समझाया है, सच में मजा आ गया, पूरा वीडियो मैने नोट्स बनाते हुए समझा क्योंकि अपनी पढ़ाई के समय में सिर्फ bayes theorem को याद कर लिया था। दिल में था कि कभी मौका लगेगा तो इसको समझ लूंगा। आपके के कारण मुझे समझने मौका मिला आप का बहुत बहुत धन्यवाद। आप इसी तरह से आईआईटी जेईई की math इतनी clear kar दो कि हर एक बच्चे को आनंद पढ़ाई में आ जाए। मुझे आप की हंसने की स्टाइल पसंद आई। आप को फिर से शुक्रिया। आप एक बेहतरीन अध्यापक है।
7:06 Important terms 23:08 classical definition of probability 28:18 double dice problems 42:10 deck of card problems 49:32 P n C problems 1:12:12 type of events 1:35:00 addition theorem of probability 2:42:00 conditional probability 3:02:30 multiplication theorem 3:38:00 infinite gp questions 4:20:00 total probability theorem and bayes' theorem 5:16:00 binomial probability 5:57:47 probability distribution table 6:15:15 binomial probability distribution table 6:33:50 mathematical expectation 6:45:18 coincidence testimony
7:16 Random experiment 11:15 Sample space 19:31 event 22:28 compliment of event 23:07 classical definition of probability 28:25 Double dice problems 42:01 deck of cards 49:19 P&C based questions 1:11:57 types of events 1:15:49 equally likely 1:17:21 Mutually exclusive 1:23:00 exhaustive 1:26:00 dependent and independent 1:35:00 addition theorem on probability 2:14:00 BREAK 2:42:02 conditional probability 3:02:00 multiplication theorem 3:38:00 infinite gp 4:19:00 total probability theorem and Bayes theorem 4:50:00 Break 5:15:00 binomial probability 5:57:00 probability distribution table 6:07:12 Mean and variance of probability distribution 6:15:07 binomial probability distribution 6:24:08 geometrical probability 6:33:24 mathematical expectation 6:45:14 coincidence testimony
When someone is enjoying what he is doing... Then tiredness and breaks doesn't matter....a learning from this video...Teaching for 7 hours is not an easy task.. Hats off to NV sir.
i came back to this video just to say that i made into......IIT RORKEE...2022....I KNOW THIS IS LATE BUT YEH LECTURE AACHANAK SE AA GAYA......AND I JUST WANTED TO SAY THANK YOU.....SV mam AND NV sir
@@Aayshr-kr it is bro you'll get 1-2 questions form this topic .......you'll be given any conditon in probablity .....kyuki adv mai repeat nahi hoga just keep the concepts clear
Matlab dedication of NV SIR is on a next level because koi banda 7 hrs kaise padha satka hai lagatar with only minimal breaks. Hats off to you Sir 😎🤘#NVSTYLE
7:16 Random experiment 11:15 Sample space 19:31 event 22:28 compliment of event 23:07 classical definition of probability (odds in favour and against) 28:25 Double dice problems(trick-#swamiji tilak) 42:01 deck of cards 49:19 P&C based questions 1:11:57 types of events 1:15:49 equally likely 1:17:21 Mutually exclusive 1:23:00 exhaustive 1:26:00 dependent and independent 1:35:00 addition theorem on probability 2:14:00 BREAK 2:42:02 conditional probability 3:02:00 multiplication theorem 3:38:00 infinite gp 4:19:00 total probability theorem and Bayes theorem 4:50:00 Break 5:15:00 binomial probability 5:57:00 probability distribution table 6:07:12 Mean and variance of probability distribution 6:15:07 binomial probability distribution 6:24:08 geometrical probability 6:33:24 mathematical expectation 6:45:14 coincidence testimony
Bro I'm praparing for NDA written and I'm learning this to clear all concepts about probability ....to tum ab bhi yahi chahte ho kya ki ye mere pas nhi aana tha 😁😂😂
4:44:35 Mcq answering probability question 🔥 4:20:25 Total probability theorem: denominator of bayes theorem Then Bayes theorem ;conditional probability wali feel(given that) Favourable path/total possible cases
00:00 Introduction 7:16 Random experiment 11:15 Sample space 19:31 event 22:28 compliment of event 23:07 classical definition of probability 28:25 Double dice problems 42:01 deck of cards 49:19 P&C based questions 1:11:57 types of events 1:15:49 equally likely 1:17:21 Mutually exclusive 1:23:00 exhaustive 1:26:00 dependent and independent 1:35:00 addition theorem on probability 2:14:00 BREAK 2:42:02 conditional probability 3:02:00 multiplication theorem 3:38:00 infinite gp 4:19:00 total probability theorem and Bayes theorem 4:50:00 Break 5:15:00 binomial probability 5:57:00 probability distribution table 6:07:12 Mean and variance of probability distribution 6:15:07 binomial probability distribution 6:24:08 geometrical probability 6:33:24 mathematical expectation 6:45:14 coincidence testimony
@@akshatverma9974 bhai ab jisko jo tr s shi s smjh aagya o bdhiya uske liye tr sb acha hota h yt pr hm toh ek b khrab tr ni dkhe baat h smjh kisse aata h tr pr comparison krna bchaa wla buddhi h grow up!
00:00 Introduction 7:16 Random experiment 11:15 Sample space 19:31 event 22:28 compliment of event 23:07 classical definition of probability 28:25 Double dice problems 42:01 deck of cards 49:19 P&C based questions 1:11:57 types of events 1:15:49 equally likely 1:17:21 Mutually exclusive 1:23:00 exhaustive 1:26:00 dependent and independent 1:35:00 addition theorem on probability 2:14:00 BREAK 2:42:02 conditional probability 3:02:00 multiplication theorem 3:38:00 infinite gp 4:19:00 total probability theorem and Bayes theorem 4:50:00 Break 5:15:00 binomial probability 5:57:00 probability distribution table 6:07:12 Mean and variance of probability distribution 6:15:07 binomial probability distribution 6:24:08 geometrical probability 6:33:24 mathematical expectation 6:45:14 coincidence testimony
Thank me later😊 7:16 Random experiment 11:15 Sample space 19:31 event 22:28 compliment of event 23:07 classical definition of probability 28:25 Double dice problems 42:01 deck of cards 49:19 P&C based questions 1:11:57 types of events 1:15:49 equally likely 1:17:21 Mutually exclusive 1:23:00 exhaustive 1:26:00 dependent and independent 1:35:00 addition theorem on probability 2:14:00 BREAK 2:42:02 conditional probability 3:02:00 multiplication theorem 3:38:00 infinite gp 4:19:00 total probability theorem and Bayes theorem 4:50:00 Break 5:15:00 binomial probability 5:57:00 probability distribution table 6:07:12 Mean and variance of probability distribution 6:15:07 binomial probability distribution 6:24:08 geometrical probability 6:33:24 mathematical expectation 6:45:14 coincidence testimony
Shruti Anand 3 months ago 7:06 Important terms 23:08 classical definition of probability 28:18 double dice problems 42:10 deck of card problems 49:32 P n C problems 1:12:12 type of events 1:35:00 addition theorem of probability 2:42:00 conditional probability 3:02:30 multiplication theorem 3:38:00 infinite gp questions 4:20:00 total probability theorem and bayes' theorem 5:16:00 binomial probability 5:57:47 probability distribution table 6:15:15 binomial probability distribution table 6:33:50 mathematical expectation 6:45:18 coincidence testimony
Believe me guys after watching this video lecture of Sir.. I am able to solve all the questions of jee mains pyqs.... Thanku sir literally luv u ❤❤❤❤❤❤❤❤❤❤❤❤ from the bottom of my great.. Such a great teacher with a lots of talent
@@kartikagarwal4719 bro yrr maine padhi thi prob but Funda shi nhi hua tho yeh muje dekhni chaiye vedio kyoki time bhot kimti hai hor ye vedio 7 hrs ki hai 2x mai bhi dekhu tho 4 hrs tho laga ke chlao
7:06 Important terms 23:08 classical definition of probability 28:18 double dice problems 42:10 deck of card problems 49:32 P n C problems 1:12:12 type of events 1:35:00 addition theorem of probability 2:42:00 conditional probability 3:02:30 multiplication theorem 3:38:00 infinite gp questions 4:20:00 total probability theorem and bayes' theorem 5:16:00 binomial probability 5:57:47 probability distribution table 6:15:15 binomial probability distribution table 6:33:50 mathematical expectation 6:45:18 coincidence testimony Thanks
Sir I genuinely believed I will never understand bayes & total probability theorem, I saw multiple video on this topic but never understood it. You cleared it for me in just hardly minutes. Thank you for all your help, u truly are the god of mathematics teaching.🙏🙏
this channel deserves 100000000000000000 million trillion subscribers. We should promote the effort put in by the teachers also they deserve more love and support. At the end i want to thank nv sir for taking this amazing session 👍👍👍👍👍🤙
Bina lecture dekhe nv sir ka one shot dekh lo pura cahpeter khamatam kuch nhi bacta one shot ke badd #NVSTYLE #UNACDEMY ATOMS #CHAMKA #CHINDI QUESTION 🎉👍👍
@@krishikhajuria Nope. I did. I had probability in 1st sem. My branch(CSBS) has this subject ITSPC(introduction to statistics, probability and calculus)
Sir matrices and determinant karado sir plzz my NDA exam is on 14 Nov but I want to learn with your sir because after understanding your concept aakho Mai chamak ajati hai 😅
at 6:14:16 why are we taking the probability in a manner in which we dont subtract a card after taking the first case. like assuming one ace and one not ace case, it should be 4/52 x 48/51
✨ IIT JEE Plus Subscription @5,499: unacademy.com/goal/-/TMUVD/subscribe?plan_type=plus&referral_code=PJLIVE
Sir i am not able to access this document pls do something?
Facing the same problem
sir i cant open the notes
Sir not able to acces the document
Iss lecture ka pdf kaise milega ??😢
Nishant ji
नमस्कार
मैं एक इनकम टैक्स अधिकारी हूं , आप ने जिस तरह से probability को समझाया है, सच में मजा आ गया, पूरा वीडियो मैने नोट्स बनाते हुए समझा क्योंकि अपनी पढ़ाई के समय में सिर्फ bayes theorem को याद कर लिया था।
दिल में था कि कभी मौका लगेगा तो इसको समझ लूंगा।
आपके के कारण मुझे समझने मौका मिला
आप का बहुत बहुत धन्यवाद।
आप इसी तरह से आईआईटी जेईई की math इतनी clear kar दो कि हर एक बच्चे को आनंद पढ़ाई में आ जाए।
मुझे आप की हंसने की स्टाइल पसंद आई।
आप को फिर से शुक्रिया।
आप एक बेहतरीन अध्यापक है।
7:06 Important terms
23:08 classical definition of probability
28:18 double dice problems
42:10 deck of card problems
49:32 P n C problems
1:12:12 type of events
1:35:00 addition theorem of probability
2:42:00 conditional probability
3:02:30 multiplication theorem
3:38:00 infinite gp questions
4:20:00 total probability theorem and bayes' theorem
5:16:00 binomial probability
5:57:47 probability distribution table
6:15:15 binomial probability distribution table
6:33:50 mathematical expectation
6:45:18 coincidence testimony
thankyou so much !!!
hare krishna
jai srila prabhupada!!!
thank you so very much
Thank You Shruti
THANKS👍
Thanks sis
7:16 Random experiment
11:15 Sample space
19:31 event
22:28 compliment of event
23:07 classical definition of probability
28:25 Double dice problems
42:01 deck of cards
49:19 P&C based questions
1:11:57 types of events
1:15:49 equally likely
1:17:21 Mutually exclusive
1:23:00 exhaustive
1:26:00 dependent and independent
1:35:00 addition theorem on probability
2:14:00 BREAK
2:42:02 conditional probability
3:02:00 multiplication theorem
3:38:00 infinite gp
4:19:00 total probability theorem and Bayes theorem
4:50:00 Break
5:15:00 binomial probability
5:57:00 probability distribution table
6:07:12 Mean and variance of probability distribution
6:15:07 binomial probability distribution
6:24:08 geometrical probability
6:33:24 mathematical expectation
6:45:14 coincidence testimony
Thanks you so much
Thanks
Thanks🙏🙇
@Satyajit Gahan bhai tum bhi yahi dekhrhe ho kya abtak… mera to piche chalrha portion
*THANKS A TON* !!
When someone is enjoying what he is doing... Then tiredness and breaks doesn't matter....a learning from this video...Teaching for 7 hours is not an easy task.. Hats off to NV sir.
True🔥🔥, NV sir's dedication is next level,
@Rocky Shahu no
iss 100 likes vaali century ko mein break krne jaa rhi hoon ....i.e 101😆😆😆😆
But we are smart sir speaks slow watch in 2x which will be equal to our normal way of speaking and finish it in 3.5 hrs
Yes hats of you Kirti sanon
i came back to this video just to say that i made into......IIT RORKEE...2022....I KNOW THIS IS LATE BUT YEH LECTURE AACHANAK SE AA GAYA......AND I JUST WANTED TO SAY THANK YOU.....SV mam AND NV sir
Sv sir?....nv mam 💀
@@bishaldutta7811 sh**t my bad....😅😅
shit bruh, when did you start your preparations?
Bro is it sufficient for jee adv. Plssssss suggest
@@Aayshr-kr it is bro you'll get 1-2 questions form this topic .......you'll be given any conditon in probablity .....kyuki adv mai repeat nahi hoga just keep the concepts clear
7 years of Nv Sir's experience in n 7 hours....Op..🔥🔥
9+ year but dont update his profile
7 thala for a reason
Thala for reason 😂😂
this is better than my coaching teacher (fees 1.5lakh) .
My coaching teacher teaches the same
No difference in questions also🤣
My coching teacher is just copying this lecture exactly .
@@vedantmahalle39 wahh ,cpy paste😂😂🤣🤣moz kr di sir ne
Yaah actually
Hii
Matlab dedication of NV SIR is on a next level because koi banda 7 hrs kaise padha satka hai lagatar with only minimal breaks. Hats off to you Sir 😎🤘#NVSTYLE
Wo bhi shuru se jb se bounce back shuru hua hai
Nhi ekk aur hain jo 24 the live mahakal Wale 🤣🤣
#nv sir is best
@@himanshumishra6807 😂🤣
How can someone teach so well, I don't believe. Hat's off to you sir. With your efforts and guidance we will definitely crack iit in NV style 🤘🤘🤟
The way he explains how to use, where to use, when to use.....
U r the best sir.......
I don't have enough words to thnkk uhhhh 😍😍😍😍
@@bundesteam8453 😂😂
Bhai coaching k teachers to inke samne kuch hai hi nhi , unko to smghana hi nhi aata
@@AbhayRaj-st1mf sahi me🥺
@@stusongdio9033 are Bhai nv sir is mahan Maine to coaching ki maths classes hi bnd kr di
This is better than my offline coaching #2lacs vs free
This is better than my coaching centre too🥲🥲 tbh I learn more from TH-cam than from my institute.
@@teratrox4685 Yaa 😁😁
sahi keh rhaa hai bro
true bro i spent around 2.5 lac
very true!!!!
3:21:20- 3:37:29 , 3:51:02 - 3:56:17 (paragraph Q1)- 4:03:31 (para question 3 done ) 4:05:42 (jee adv 2020 Q) 4:32:36 ( T.B.T and Bayes theorem questions ) 5:41:59 binomial probability jee q’s
this is the best lecture ever for iit to complete only in 7 hours
Hi bhai
understood whole probability in just seven hours.......thankyou so much sirrrrr❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
3:56:32 (Adv 2009) same question repeated in 2024 27 Jan shift 1
Bhai lecture ke notes kaise milenge
@@Beastfr0001mere pass Hai notes ki link
@@ruhiff8012 bhej do na please
7:16 Random experiment
11:15 Sample space
19:31 event
22:28 compliment of event
23:07 classical definition of probability (odds in favour and against)
28:25 Double dice problems(trick-#swamiji tilak)
42:01 deck of cards
49:19 P&C based questions
1:11:57 types of events
1:15:49 equally likely
1:17:21 Mutually exclusive
1:23:00 exhaustive
1:26:00 dependent and independent
1:35:00 addition theorem on probability
2:14:00 BREAK
2:42:02 conditional probability
3:02:00 multiplication theorem
3:38:00 infinite gp
4:19:00 total probability theorem and Bayes theorem
4:50:00 Break
5:15:00 binomial probability
5:57:00 probability distribution table
6:07:12 Mean and variance of probability distribution
6:15:07 binomial probability distribution
6:24:08 geometrical probability
6:33:24 mathematical expectation
6:45:14 coincidence testimony
Thanks...can you pls do it for whole video..
@@komal_sai actually i am still watching it so once i get completed i will complete this comment with complete time stamps
@@shreya_0402 ok tq
@@shreya_0402 thanks
Thanks
49:30 PNC based questions
1:12:00 types of events
Kash ye content kam se kam students ke pass pahunche...warna competition bahut badh jayega 🥺😁
Dil ka dariya beh hi gya🤧
Bade harami ho beta
Honestly ?
Bro I'm praparing for NDA written and I'm learning this to clear all concepts about probability ....to tum ab bhi yahi chahte ho kya ki ye mere pas nhi aana tha 😁😂😂
Bro did you clear jee
NV Sir always rocks❣️ Lots of LOVE & RESPECT Sir❣️❣️ #bounceback
U r a regular student of NV sir
I have seen you in each live video of NV sir
@@tomandjerry1218 Abe bhaii padhne aaya h ya setting krne 😂
I have same wallpaper as ur id's arijit singh picture💞
3:33:28 adv 2019 question analysis
4:02:53 advance good question 2009
4:15:28
4:44:35
Mcq answering probability question 🔥
4:20:25
Total probability theorem:
denominator of bayes theorem
Then Bayes theorem ;conditional probability wali feel(given that)
Favourable path/total possible cases
Can't express my happiness! How can someone teach so well...Hat's Off to you sir.....THANK YOU SO MUCH!(an 2022aspirant)🥺
Sorry i miss read your name arogya setu im sorry bro
@@theayushbhardwaj you are so kind🙃
@@arghojitsaha3568 why did you felt that?
@@theayushbhardwaj because you accepted your mistake
@@arghojitsaha3568 thanks man i appreciate that
00:00 Introduction
7:16 Random experiment
11:15 Sample space
19:31 event
22:28 compliment of event
23:07 classical definition of probability
28:25 Double dice problems
42:01 deck of cards
49:19 P&C based questions
1:11:57 types of events
1:15:49 equally likely
1:17:21 Mutually exclusive
1:23:00 exhaustive
1:26:00 dependent and independent
1:35:00 addition theorem on probability
2:14:00 BREAK
2:42:02 conditional probability
3:02:00 multiplication theorem
3:38:00 infinite gp
4:19:00 total probability theorem and Bayes theorem
4:50:00 Break
5:15:00 binomial probability
5:57:00 probability distribution table
6:07:12 Mean and variance of probability distribution
6:15:07 binomial probability distribution
6:24:08 geometrical probability
6:33:24 mathematical expectation
6:45:14 coincidence testimony
I HAVE COMPLETED THIS CHAPTER THANK YOU SIR.
Maine bhi aaj hi kia bhaiii
Maza aa gaya🔥
This is called, I worth these 7 hrs .
Thankyou so much sir for this valuable lecture, there is no any useless talk , ❤😘
2 Breaks are also Included
And Ur watching while Breaks
Hatsoff ur detection 😆🙏🏻
🌝🌝
@@Ayszz 😂
starting and ending may promotion bhi dekha hai wow 😎
@@shivanshgarg168 so funny bkl
You're literally a gem sir.. Aaj tak aap jaisa maths teacher nhi dekha.. You're surely an underrared gem
manoj chauhan sir laughing in the corner
GB Sir🛐
@@akshatverma9974 bhai ab jisko jo tr s shi s smjh aagya o bdhiya uske liye tr sb acha hota h yt pr hm toh ek b khrab tr ni dkhe baat h smjh kisse aata h tr pr comparison krna bchaa wla buddhi h grow up!
00:00 Introduction
7:16 Random experiment
11:15 Sample space
19:31 event
22:28 compliment of event
23:07 classical definition of probability
28:25 Double dice problems
42:01 deck of cards
49:19 P&C based questions
1:11:57 types of events
1:15:49 equally likely
1:17:21 Mutually exclusive
1:23:00 exhaustive
1:26:00 dependent and independent
1:35:00 addition theorem on probability
2:14:00 BREAK
2:42:02 conditional probability
3:02:00 multiplication theorem
3:38:00 infinite gp
4:19:00 total probability theorem and Bayes theorem
4:50:00 Break
5:15:00 binomial probability
5:57:00 probability distribution table
6:07:12 Mean and variance of probability distribution
6:15:07 binomial probability distribution
6:24:08 geometrical probability
6:33:24 mathematical expectation
6:45:14 coincidence testimony
Thank me later😊
7:16 Random experiment
11:15 Sample space
19:31 event
22:28 compliment of event
23:07 classical definition of probability
28:25 Double dice problems
42:01 deck of cards
49:19 P&C based questions
1:11:57 types of events
1:15:49 equally likely
1:17:21 Mutually exclusive
1:23:00 exhaustive
1:26:00 dependent and independent
1:35:00 addition theorem on probability
2:14:00 BREAK
2:42:02 conditional probability
3:02:00 multiplication theorem
3:38:00 infinite gp
4:19:00 total probability theorem and Bayes theorem
4:50:00 Break
5:15:00 binomial probability
5:57:00 probability distribution table
6:07:12 Mean and variance of probability distribution
6:15:07 binomial probability distribution
6:24:08 geometrical probability
6:33:24 mathematical expectation
6:45:14 coincidence testimony
Thanks bhai 😃 😊
Best teacher of JEE advanced
Shruti Anand
3 months ago
7:06 Important terms
23:08 classical definition of probability
28:18 double dice problems
42:10 deck of card problems
49:32 P n C problems
1:12:12 type of events
1:35:00 addition theorem of probability
2:42:00 conditional probability
3:02:30 multiplication theorem
3:38:00 infinite gp questions
4:20:00 total probability theorem and bayes' theorem
5:16:00 binomial probability
5:57:47 probability distribution table
6:15:15 binomial probability distribution table
6:33:50 mathematical expectation
6:45:18 coincidence testimony
Best maths teacher agreeing waale aspirants like maaro
👇🏻👇🏻👇🏻
4:03:25 JEE advance 2020 Pyq
4:18:27 Total probability theorem
4:32:29 Bayes' theorem questions
5:15:15 Binomial Probability
One of the best one shot of probability in TH-cam community 🥰🥰😍😍😍😍😍😍😍😍😍😍
# nv style oppppppp 🥰
Not 1 of the infact best 1 shot in probability in entire YT
@@jsk5549 yes 🥰
Unacademy ka sab one shot achha hi hota hai
not one of the best bro............he is definitely the best.........
@@dnyaneshb7426 yes 🥰🥰🥰
A big tribute to Nv sir in my jee preparation.
He is the best teacher on the TH-cam ▶️.
3:21:12 jee adv 2019
3:46:20 infinite go concept
4:03:40 jee adv 2020
These timestamps are for myself, pl ignore
Adv me iske kitne qs ate hai😊
Believe me guys after watching this video lecture of Sir.. I am able to solve all the questions of jee mains pyqs.... Thanku sir literally luv u ❤❤❤❤❤❤❤❤❤❤❤❤ from the bottom of my great.. Such a great teacher with a lots of talent
Bro please tell me 2019-2021 tk ke pyq is enough or not
@@tanushri5810 yes sis more than enough best of luck 🤞🤞
@@kartikagarwal4719 thank you so much best of luck you too kuch maheeno me hm dono apne dream college me honge 👍🏻
@@tanushri5810 sure 👍👍
@@kartikagarwal4719 bro yrr maine padhi thi prob but Funda shi nhi hua tho yeh muje dekhni chaiye vedio kyoki time bhot kimti hai hor ye vedio 7 hrs ki hai 2x mai bhi dekhu tho 4 hrs tho laga ke chlao
ADVANCED SOLUTIONS
2011 3:16:24
2012 3:33:43
2015 5:45:05
2019 3:20:28
2020 4:03:32 , 5:49:58
3:14:58,⭐⭐
3:33:32 ,note
4:44:39⭐⭐
4:46:27,note the q
6:21:20 answer is option B🙏🙏🙏🙏
U r great sir 🙏🙏
And I can say it proudly that u are best mathematics teacher in world 🌎 for IIt jee🙏🙏🙏🙏
5:33:38 maine real life Sanjay Dutt imagine kiya...answr jaldi aa gya😂😂
24:47
33:41
39:07
45:33 Knave cards 10,J,Q
Honour Cards AKQJ
Face Cards KQJ
53:58
1:13:00
1:30:09 noteeeeeee
1:35:42 to 1:40:10
1:40:33
1:42:58
1:44:38
1:47:19
1:50:52
1:51:28
1:55:44
1:56:54
1:59:02
2:01:42
2:42:39
2:47:19
3:02:30
3:04:09
3:07:11
3:08:39
3:13:11
3:20:28
3:37:35 whole of it but 4:03:49 is starrrrrr
4:20:38
5:16:25
Nv sir one of the most hard working teacher for us cracking iit jee thanksssss aa lots............ For your support to us ✍️✍️✍️✍️✍️✍️✍️
Sir your teaching style,short tricks,concept explaing and dedication of teaching is very great.👌👌🙏🙏
I never joined any institute for iit jee even i don't think i have missed something because of this channel....😃😃thankyou sir ❤️
How much you scored in jee exam?
7:06 Important terms
23:08 classical definition of probability
28:18 double dice problems
42:10 deck of card problems
49:32 P n C problems
1:12:12 type of events
1:35:00 addition theorem of probability
2:42:00 conditional probability
3:02:30 multiplication theorem
3:38:00 infinite gp questions
4:20:00 total probability theorem and bayes' theorem
5:16:00 binomial probability
5:57:47 probability distribution table
6:15:15 binomial probability distribution table
6:33:50 mathematical expectation
6:45:18 coincidence testimony
Thanks
4:17:37 motivational words 🙂💗💗
1:31:17 3:50:55 3:58:31 4:03:36 4:21:18
1:47:25 question 😀 5:17:17 5:32:07
2:01:51 5:49:56 ☠️
2:10:36 3:39:14 4:32:38
3:12:25
nv sir u r literally best in whole youtube ❤️❤️❤️💖
NV is the best Teacher of mathematics.💯
Bounce back is far better than any batch of any coaching
#Simpul ,#Chindi ,#NVtrics,
#Vorabola ,and #Chintu ,
Yhi kraake ,humara najariya hi mathematics ke liye badal diya 🥰
Thank you Sir ,
Thank you sir for this amazing session..💖
3:18:51 If e and f are independent events then how its E intersection F exists???
Sorry sirr bich me he lect. Chodna padha par i watched recording it was amazing lect. ❤️👍
2:02:22
28:33 imp
1:04:44 generally multiply in PNC but agr 2-2 cases hote h toh multiply.
🥲aap pnc pdh lo phir iss chapter pe aana.....aur case ke andar multiply hota aur alag alag cases hote toh addition
I am nda aspirant ....and watching nv sir lecture 😁
Your explanation very nice sir ............
Sir I genuinely believed I will never understand bayes & total probability theorem, I saw multiple video on this topic but never understood it. You cleared it for me in just hardly minutes. Thank you for all your help, u truly are the god of mathematics teaching.🙏🙏
this channel deserves 100000000000000000 million trillion subscribers. We should promote the effort put in by the teachers also they deserve more love and support. At the end i want to thank nv sir for taking this amazing session
👍👍👍👍👍🤙
population of the world is 6 billion.
Itne to jhaat ke baal nhi honge tumhare aur saale subscribers badhwa rhe
@@kavi5918 7.7 kid
@@himanshuraj5837 😂😂😂😂😂😂
Aap bhavnao me beh gaye h..
Thank god i found u at right time...now i learnt probability without a single doubt
Knave means "servant" in a way. The Jack, Queen and 10 cards serve the King Card. You can remember it that way.
thanks!
@tejomaya7789 I am having confusion about knave cards , some people are saying knave is only referred for jack . Cam you please help ?
Bina lecture dekhe nv sir ka one shot dekh lo pura cahpeter khamatam kuch nhi bacta one shot ke badd
#NVSTYLE
#UNACDEMY ATOMS
#CHAMKA
#CHINDI QUESTION 🎉👍👍
Watching this in my Btech 1st year... Your videos are always helpful sir. Lots of LoVe to youu !!!
Fake
@@krishikhajuria Nope. I did. I had probability in 1st sem. My branch(CSBS) has this subject ITSPC(introduction to statistics, probability and calculus)
Huge respect to u sir ..No words can describe Ur dedicated way of teaching...✨
Sir why you removed time stamping??
Please add it for easy accessibility..
I love........... Sir,so so much ❤❤❤❤❤. your way of teaching is always wow.
You are greatest of great mathematics teacher ever seen in my life thnx nishant sir 🙏
Sir matrices and determinant karado sir plzz my NDA exam is on 14 Nov but I want to learn with your sir because after understanding your concept aakho Mai chamak ajati hai 😅
hua bro?
Maza aya sir! This chap is fun as compared to other algebra chaps
3:56:26 sach me aagya tha 2021 wale paper mein probability ka para #NVSir
Thank you so much sir.
THE BEST ONE SHOT SERIES FOR JEE MAINS AND ADVANCED WITH COMPLETE THEORY +PYQS, THANK YOU SIR #NV SIR
Your explanation is just mindblowing
Hats off to your skill,talent,hardwork and dedication.
Thank you sir
JEE ADVANCED : I am the toughest to crack
NV Sir: No you are Chindi 😂😂
Sir ji tusi great ho, 🔥✨🔥
Thofa kubool Karo!!!! 🙏🏻❤️💯❤️🙏🏻
I've seen two NV's till date
One teaches physics
Another teaches Maths
Both are just unexplainable..
39:53
49:50 mixed problems with p n c
NV Sir... The Captain Cool of Unacademy ✌
Enjoyed a lot .... specially the last part... laughed a lot....
Very useful lecture 😁❤
Special Class Series: unacademy.com/a/nv-pyq-series
Great Lecture 👍
Completed 1/3 Rd
But yes Probability of Completing it in 2 Days is 1 😀
Done till 5:15:00
people with years of experience are not able to explain the way NV sir explains. For me , you are the Feynman of maths
6:46:42 The ans is boy B becoz in his left leg socks 🧦there is a knife 🔪 hidden😨😨
bhai murder stick ya pencil se hua hai aur uske socks me stick hi hai
@@kushagra3557 ha vohi B ne hi kiya hai ...😅
sir iske baad sets, relation, Function.. 🙏
The most loved teacher for maths on yutube and famous for his one shot contents.❤❤❤
My Favorate teacher❤️❤️ always respect ❤️❤️
43:54
♠️ Hukum
♥️ Paan
sir i solved the question just by looking at the image 😂😂😂😂6:46:00 theres a knife in the sock of B
Sabse jyada tricks sir ne probability or Area under curve me hi batai h. 🤘😎😎🥰🥰
(For personal use)
3:55:44 adv question 1
Our NV sir is a legend❤️
This is the best lecture ever. NV sir next year i am coming Rajkot to meet you. You are my idol sir.
Thank you very much sir,. M lucky to study from you. the Best teacher for maths.
That's Worthy for Upsc CSAT paper too ❤️ thank you sir🙏❤️
Probably the best content i have seen on whole youtube 🔥literally 🔥🔥
Sir mistake 43:37
😂😂
1) eeeth
2) pann
3) hukum
4) chhidi 😂😂
Sir aap bi Shareef balak the matlab😂
No words for ur dedication towards teaching us ❤️
Is lecture for class 11th or 12th ?
@@siyasharma3172 sbhi kr sakte hai ,but specific for jee mains and advanced and other competative exams
at 6:14:16 why are we taking the probability in a manner in which we dont subtract a card after taking the first case. like assuming one ace and one not ace case, it should be 4/52 x 48/51
MAST MAZA AAYA!!👌🔥
PROBABILITY TOH FAVORITE BAN GYA!!🤩❣
MORE CONFIDENCE BOOSTED SIRJI!!🔥💪