An introduction to the Bernoulli distribution, a common discrete probability distribution.
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@entidoe89 жыл бұрын
yeah he is CRYSTAL CLEAR in all of his lectures . straight to the point . most important point is that he takes minimal time and teaches maximum of the topic . Very few can maintain this balance between precise explanation , wonderful time management , and the way he presents the topic, keeps the concentration going on till the end of the lecture . thank you very much jbstatistics
@DailyDarsh Жыл бұрын
This comment is older than my brother
@Blackmetalstudios7 жыл бұрын
took my teacher 45 minutes to explain what you did in 5, thanks
@jbstatistics7 жыл бұрын
I try to be concise and get to the point. Sometimes I'm successful :)
@SaqibAlikhantanoli4 жыл бұрын
@@jbstatistics Can you please do a video on Weibull Distribution and Finding it Fitting Parameters (Weilbull Fitting). Thank you for great tutorials!
@ultimatefraudcrymier26333 жыл бұрын
@@jbstatistics thanks a lot My master was not at all willing to teach us this in online classes
@alvarorubenvera59152 жыл бұрын
@@ultimatefraudcrymier2633 We all know we pay university to watch videos on youtube
@kashaf14232 жыл бұрын
Same🤝😂
@rinskydances939 жыл бұрын
Thank you SO much. I was nearly in tears trying to understand the jibberish our lecturer was throwing at us. You give clear explanations of WHAT is happening, HOW and WHY, which is what students need and teachers just don't get it :(. Your videos are giving me hope to pass Business Statistics ! Thanks again.
@Sunnydayz56568 ай бұрын
Amazing love it
@ziekaman24502 жыл бұрын
sorry a little bit too abstract for me. Very unclear what the difference between X and x actually is. Also no idea how to find p.
@kaizerbyparthpratyush2173 ай бұрын
It's basic algebra bro X and x are the same place holder. Eg- X = x could be X = 4.
@jbstatistics11 жыл бұрын
You're welcome! And thanks for the compliment. I'm glad you find my videos helpful!
@auggie08110 жыл бұрын
You have awesome videos man, I hope they start getting more attention... Seriously, you >>> Khan academy
@jbstatistics10 жыл бұрын
Thanks for the compliments auggie! I agree with all your points :)
@anika_ara93639 жыл бұрын
totally agree with you! I have found this today and I am loving it! :-D
@anika_ara93639 жыл бұрын
totally agree with you! I have found this today and I am loving it! :-D
@jbstatistics9 жыл бұрын
+Anika_Ara Thanks! I'm glad you find them helpful!
@Jeremy_Fisher4 жыл бұрын
Khan Academy is good for most things. Their strength is the sheer amount of topics they cover. But in general, I find more specific channels like jbstatistics, are better for learning specific topics. Well done, jbstatstics, you did a great job on your channel.
@harryli25462 жыл бұрын
hey guys, quick questions, can we assume x = 3 or 4 instead of 1 or 0? Would that function still hold?
@jbstatistics2 жыл бұрын
No, it wouldn't work as is. If you want to write P(X=3) = 1-p and P(X=4) = p in one function, then you'd have to tweak the Bernoulli pmf to P(X=x) = p^(x-3)(1-p)^(4-x) for x = 3, 4.
@MexterO1239 жыл бұрын
Why can't statistics class be like this. :/ Straight to the point.
@johnn87597 жыл бұрын
Memo Pony You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"
@kenhuang18718 жыл бұрын
I find these explanations to be very clear. Thanks for helping us all understand stats!
@jbstatistics8 жыл бұрын
+Ken Huang You are very welcome. And thanks for the compliment!
@cherishburks13963 жыл бұрын
My guy, you are better than Khan Academy!
@aidanwhite86707 жыл бұрын
Thanks for not making this a 20 minute video
@johnn87597 жыл бұрын
Aidan White You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"
@m3tz1311 жыл бұрын
Thank you so much ! :D omg I'm really thankful for this awesome, clear and simple lesson.
@jbstatistics11 жыл бұрын
You are very welcome. And thanks for the compliment!
@Hersh08282 жыл бұрын
Underrated statement 3:43 - "What is the point of all this?"
@jbstatistics2 жыл бұрын
I try not to just teach the specific topics, but why we might care about it.
@starja44774 жыл бұрын
Your videos are so amazing
@lofi_ish56132 жыл бұрын
omg, you are the best. I hope you do well in life. I am in this class where my teacher has absolutely 0 idea of how to teach. all she does is just read the slides and expect us to understand all of this. it is so stupid and frustrating. I got a quiz worth 5 percent of my grade and an assignment worth 8 percent of my grade to do this week. you are a lifesaver.
@observever78083 жыл бұрын
One of the best 5 minutes of my life LOL
@jbstatistics11 жыл бұрын
You are welcome Kim! I'm glad you like them.
@surbhikohli855910 жыл бұрын
extremely helpful video. Superb explanation
@WilliamKinaan9 жыл бұрын
Kindly why the mean equals to "p"? Should it be "[ (p) + (1-p) ] / 2" = 0.5 ?
@manshisinha79535 жыл бұрын
I've been searching for a video like this for a while and at last i found it. This helped a lot ..thanks🖤 Keep up the good work!
@bilbm52087 жыл бұрын
Sir, You're making my life better ! thank you so much :)
@johnn87597 жыл бұрын
Bilal Boumaad You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"
@scanguru9 жыл бұрын
Love the videos. great explanation. Simple and clear. Thanks for creating them.
@hanheeyang98374 жыл бұрын
thanks bro, u better then ma teacher. and u gots da good voice
@AmaniAridja6 ай бұрын
I really appreciate your explanation please do some exercises of discrete probability distribution
@valeriereid23372 ай бұрын
Excellent.
@adminenetzone633010 ай бұрын
Do all descrete probablity distributions depend on bernoulli trail? Or there are descrete distributions that depend on other trails?
@yousufazad69146 жыл бұрын
much like the Bernoulli Distribution, this video is short, concise and to the point. Good job mate!
@jbstatistics6 жыл бұрын
Thanks!
@helenso9462 Жыл бұрын
YOU ARE AMAZING SIR maybe god bless you!
@jyotikavarmani44547 жыл бұрын
Thank you very much for this and every video of yours. I've been through so many videos of statistics before coming to your videos. And you are simply the best. Your clarity and precision are outstanding. Thanks again :)
@jbstatistics7 жыл бұрын
You are very welcome, and thanks so much for the kind words!
@thabangkhoetha69783 жыл бұрын
Wow I always ask myself what's the point and what are we rying to find out and i got the answer here
@jbstatistics11 жыл бұрын
You are welcome!
@krystiantomczuk48366 жыл бұрын
Great explanation. I really like how clean your video is, very focused on the current task at hand. Superb!
@jbstatistics6 жыл бұрын
Thanks for the compliment!
@tawseeftaher91092 жыл бұрын
resume 2:00
@VS-ey2lf6 жыл бұрын
Sir, you're truly a legend!! If I didn't find you on youtube I might fail the class!! I have a test tomorrow watching all your tutorials. Already watched the whole playlist of basics of probability, now I'm on this one. Thanks again
@jbstatistics6 жыл бұрын
You are very welcome!
@Nishkarshnagle6 жыл бұрын
Man who disliked this video,, man
@SaqibAlikhantanoli4 жыл бұрын
@jbstatistics Can you please do a video on Weibull Distribution and Finding it Fitting Parameters (Weilbull Fitting). Thank you for great tutorials!
@F91RPG5 жыл бұрын
Sorry although you said there is not too much difficulty, but I still don't understand why variance= p(1-p)
@giraganipallavi45943 жыл бұрын
thq very much sir ur videos are helpfull
@benjaminli38083 жыл бұрын
The Patrickjmt of Statistics n_n
@anirudhthatipelli8765 Жыл бұрын
Thanks, this was very clear.
@shrimatkapoor22006 жыл бұрын
Why do they teach the Bernoulli distribution if we can just learn about the Binomial distribution directly
@pramishprakash Жыл бұрын
Thank you sir....
@jbstatistics Жыл бұрын
You are very welcome!
@evanv22584 жыл бұрын
college would be much more productive if all professors taught like you do :)
@TarunArora014 жыл бұрын
I came here to get my queries solved but seems like they have been multiplied now :'D
@TheChumbotxj95 жыл бұрын
These videos saved me!! Thanks for making them!
@jbstatistics5 жыл бұрын
I'm glad to be of help!
@ulamss5 Жыл бұрын
So little x can only be 0 or 1?
@pidchayaninchutipattana7612 Жыл бұрын
Youve just saved my life
@jas080573 жыл бұрын
Perfect explanation, thank you so much!!!
@deginettilahun9 ай бұрын
very good
@jbstatistics9 ай бұрын
Thanks!
@roadkil89910 жыл бұрын
Man I love you..Missed those lec in the Uni and I have finals from another week..Now I'm learning from you..Thank you sooooo much :D
@sedatcapar3 жыл бұрын
Your lecture is good, but the example is wrong. if the variable X is the number of lawyers then what is the probability of 2 layers?
@jbstatistics3 жыл бұрын
The probability of getting two lawyers in a sample of one person is generally accepted as 0. The example is not wrong. X represents the number of lawyers in s sample of size 1. In other words, is the person a lawyer or not? A Bernoulli random variable results from a single trial of a yes/no 1/0 scenario.
@kl65443 жыл бұрын
but what if the person is pregnant?
@thedeathofbirth07637 ай бұрын
You simply rock!
@DetectiveConan990v311 ай бұрын
man this is so much more helpful than my professor
@gpminsuk5 жыл бұрын
Question.. let's say I pull an American adult once a month. And number of American adult lawyers increases over time (p changes over time). Is this still Bernoulli distribution?
@jbstatistics5 жыл бұрын
For the Bernoulli, n = 1, so each time you draw an American the # of lawyers you get (0 or 1) is Bernoulli. The following month, n=1 again, and you once again have a Bernoulli r.v., this time with a different p. Same idea in the following months. Each and every time it's Bernoulli, just Bernoulli with differing p. If you're asking whether the sum of those Bernoulli random variables would have a binomial distribution, then no, no it wouldn't (since p changes from trial to trial).
@reabetsoeadoro89666 жыл бұрын
I am so sad that I am only discovering your channel. You are highly appreciated
@GoodLuckForever-wi9kb10 ай бұрын
Best Of Luck Forever For Sharing Such a Deep Knowledge in such a simple way. Well Done Sir
@halkcompany71735 жыл бұрын
In 5 minutes I understood more than in a 90-minute lecture
@rachsteve39966 жыл бұрын
Wow bro what an explanation Thankssss😇😇😇
@anomienormie81265 жыл бұрын
Very nice and concise. Clear notes and pronunciation.
@priyakiran64025 жыл бұрын
Very nice and to the point inputs....keep going
@vijaybangari4968 жыл бұрын
better,simple,useful and exactly what's required explanation...
@johnn87597 жыл бұрын
Vijay Bangari You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"
@syedahmedali74176 жыл бұрын
plz make a video on beta distribution
@joshguevara95704 жыл бұрын
Amazing dude. Clear, concise and straight to the point.
@faruqsandi61846 жыл бұрын
What a great explanation. Cristal clear in 301 seconds. Thank you.
@jbstatistics6 жыл бұрын
You are very welcome!
@thanojishing5346 жыл бұрын
power of 0=1 so p(x=0)=(1/200)power 0.(1-1/200)power 0=0?sdnt it be 0? how it is 199/200? please explain in detail sir
@jbstatistics6 жыл бұрын
P(X=0) = (1/200)^0(1-1/200)^(1-0) = 199/200.
@thanojishing5346 жыл бұрын
o got ya... i missed (1-1/200)^(1-0)... thank you for responding
@godsavebulusdul96483 жыл бұрын
this is awesome
@eryseayliid15355 жыл бұрын
Is the Bernoulli distribution the same as the "normal" distribution? It was asked in the sample exam but I wasn't able to find anything indicating or denying it :/ Update: Normal distribution is in the topic of Continuous Random Variables, and not in Discrete Random Variables, so the 2 cannot be the same under any circumstances.
@jbstatistics5 жыл бұрын
They are very, very different distributions. Pretty much the only thing they share in common is that they can both be labelled as probability distributions.
@eryseayliid15355 жыл бұрын
@@jbstatistics Thanks for the reply and the content, both are amazing! C:
@paralokesh99919 жыл бұрын
Great mouse writer and excellent lecture.
@Jack-dx7qb6 жыл бұрын
Thank you sir for making this *informative* and *crystal-clear* video.
@jbstatistics6 жыл бұрын
I'm glad to be of help!
@khalidmuhammed30584 жыл бұрын
Does it relate to logistic regression ?
@ericphilip3 жыл бұрын
Your voice!!
@backagain-forgive Жыл бұрын
Thank you
@yangxuanxuan7 жыл бұрын
very clear and decent explanation, thank you!
@muhnnd216810 ай бұрын
omg
@dishaghatak37325 жыл бұрын
i love you
@meena11084 жыл бұрын
not bad
@Rizz-hu4jq4 жыл бұрын
thanks sir ....it helps a lot
@otsogilelecta11 жыл бұрын
far much better than ma lecture's notes
@pubgdynamodecks49277 жыл бұрын
cud these be used for simulation and modelling??
@jbstatistics7 жыл бұрын
Sure, depending on what you are simulating and modelling :)
@MrAlbashiri9 жыл бұрын
The explanation is Crystal clear. Thank you for the amazing video.
@kimmusak161111 жыл бұрын
Thanks for the great videos you have them here
@Sam918 жыл бұрын
well explained, Thankyou. (:
@johnn87597 жыл бұрын
Shiv Aditya Mishra You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"
@Puhazhenthi Жыл бұрын
❤
@たかはしいつき-f7l Жыл бұрын
What if its like x=0 P(x)= 2000
@jbstatistics Жыл бұрын
I don't know what that means. The probabilities must lie between 0 and 1.
@たかはしいつき-f7l Жыл бұрын
@@jbstatistics yeah that one is not Bernoulli hahahah
@siyuwang19285 жыл бұрын
you saved my gpa
@yash38427 жыл бұрын
this is quite sad
@muhammadwaseem23044 жыл бұрын
Thank you🙂
@probono28768 жыл бұрын
Great Stuff, many thanks !!!
@johnn87597 жыл бұрын
pro bono You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"
@Dom-fx4kt4 жыл бұрын
Brilliant.
@giliniieriop57005 жыл бұрын
Very helpful! Thank you!
@jbstatistics5 жыл бұрын
You are very welcome!
@TheAprilMendez11 жыл бұрын
this is incredibly clear. Thank you!!
@ArijitBiswasdotcom6 жыл бұрын
Hi, could you kindly clear my doubt? What if we pick more than 1 sample in a trial? Would that still follow the Bernoulli Distribution? Or are we allowed to only pick 1 sample per trial?
@jbstatistics6 жыл бұрын
A Bernoulli random variable is one that takes on the possible values 0 and 1. If you have a situation where your random variable takes on values that are different from those, you don't have a Bernoulli random variable.
@ArijitBiswasdotcom6 жыл бұрын
Thank you very much for answering! However I do have this doubt ... even if we pick 2 samples i.e. if we toss 2 coins, the possible values the coins can take on are 0 or 1. Is this a Bernoulli Distribution or some other? Could you kindly help me with this please?
@jbstatistics6 жыл бұрын
You need to be a little more precise with the problem. You're tossing 2 coins. Coins aren't random variables on their own -- they are coins. What are you counting? What is your random variable? What values can that random variable take on?
@ArijitBiswasdotcom6 жыл бұрын
Okay sure! Suppose I want to count the number of heads that comes up when I toss 5 coins in a single trial. So the random variable is - number of heads, the possible values that it can take on are H or T. So what would be the distribution of the number of heads in this case? Would it be Bernoulli still? Thank you in advance for your help!
@jbstatistics6 жыл бұрын
If you toss 5 coins and count up the number of heads, then the possible values of that random variable are 0, 1, 2, 3, 4, 5. The possible values of the random variable are not restricted to 0 and 1, so it's not a Bernoulli random variable. If the coin tosses are independent with a constant probability of success, then the number of heads follows a binomial distribution. (A binomial distribution with n = 1 is a Bernoulli distribution.)