Introduction to the Bernoulli Distribution

Рет қаралды 484,515

jbstatistics

11 жыл бұрын

An introduction to the Bernoulli distribution, a common discrete probability distribution.

Пікірлер: 150

@entidoe8 9 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

@TheOnetrueDarsh 11 ай бұрын

This comment is older than my brother

@jbstatistics 11 жыл бұрын

You're welcome! And thanks for the compliment. I'm glad you find my videos helpful!

@manshisinha7953 5 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!

@scanguru 8 жыл бұрын

Love the videos. great explanation. Simple and clear. Thanks for creating them.

@joshguevara9570 4 жыл бұрын

Amazing dude. Clear, concise and straight to the point.

@rinskydances93 9 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.

@Sunnydayz5656 5 ай бұрын

Amazing love it

@starja4477 4 жыл бұрын

Your videos are so amazing

@kenhuang1871 8 жыл бұрын

I find these explanations to be very clear. Thanks for helping us all understand stats!

@jbstatistics 8 жыл бұрын

+Ken Huang You are very welcome. And thanks for the compliment!

@reabetsoeadoro8966 6 жыл бұрын

I am so sad that I am only discovering your channel. You are highly appreciated

@lofi_ish5613 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.

@Blackmetalstudios 6 жыл бұрын

took my teacher 45 minutes to explain what you did in 5, thanks

@jbstatistics 6 жыл бұрын

I try to be concise and get to the point. Sometimes I'm successful :)

@SaqibAlikhantanoli 4 жыл бұрын

@@jbstatistics Can you please do a video on Weibull Distribution and Finding it Fitting Parameters (Weilbull Fitting). Thank you for great tutorials!

@ultimatefraudcrymier2633 3 жыл бұрын

@@jbstatistics thanks a lot My master was not at all willing to teach us this in online classes

@alvarorubenvera5915 2 жыл бұрын

@@ultimatefraudcrymier2633 We all know we pay university to watch videos on youtube

@kashaf1423 2 жыл бұрын

Same🤝😂

@VS-ey2lf 5 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

@jbstatistics 5 жыл бұрын

You are very welcome!

@jyotikavarmani4454 7 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 :)

@jbstatistics 7 жыл бұрын

You are very welcome, and thanks so much for the kind words!

@yousufazad6914 6 жыл бұрын

much like the Bernoulli Distribution, this video is short, concise and to the point. Good job mate!

@jbstatistics 6 жыл бұрын

Thanks!

@jbstatistics 11 жыл бұрын

You are welcome Kim! I'm glad you like them.

@MrAlbashiri 8 жыл бұрын

The explanation is Crystal clear. Thank you for the amazing video.

@m3tz13 10 жыл бұрын

Thank you so much ! :D omg I'm really thankful for this awesome, clear and simple lesson.

@jbstatistics 10 жыл бұрын

You are very welcome. And thanks for the compliment!

@roadkil899 10 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

@faruqsandi6184 5 жыл бұрын

What a great explanation. Cristal clear in 301 seconds. Thank you.

@jbstatistics 5 жыл бұрын

You are very welcome!

@TheAprilMendez 11 жыл бұрын

this is incredibly clear. Thank you!!

@kimmusak1611 11 жыл бұрын

Thanks for the great videos you have them here

@anomienormie8126 5 жыл бұрын

Very nice and concise. Clear notes and pronunciation.

@bilbm5208 7 жыл бұрын

Sir, You're making my life better ! thank you so much :)

@johnn8759 7 жыл бұрын

Bilal Boumaad You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"

@jesusbermudez6775 10 ай бұрын

Thanks for this introduction to the Bernoulli distribution.

@krystiantomczuk4836 5 жыл бұрын

Great explanation. I really like how clean your video is, very focused on the current task at hand. Superb!

@jbstatistics 5 жыл бұрын

Thanks for the compliment!

@yangxuanxuan 7 жыл бұрын

very clear and decent explanation, thank you!

@jasminepearcy1161 3 жыл бұрын

Perfect explanation, thank you so much!!!

@anirudhthatipelli8765 Жыл бұрын

Thanks, this was very clear.

@TheChumbotxj9 5 жыл бұрын

These videos saved me!! Thanks for making them!

@jbstatistics 5 жыл бұрын

I'm glad to be of help!

@thedeathofbirth0763 5 ай бұрын

You simply rock!

@paralokesh9991 8 жыл бұрын

Great mouse writer and excellent lecture.

@cherishburks1396 2 жыл бұрын

My guy, you are better than Khan Academy!

@vijaybangari496 7 жыл бұрын

better,simple,useful and exactly what's required explanation...

@johnn8759 7 жыл бұрын

Vijay Bangari You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"

@priyakiran6402 4 жыл бұрын

Very nice and to the point inputs....keep going

@pidchayaninchutipattana7612 Жыл бұрын

Youve just saved my life

@Jack-dx7qb 5 жыл бұрын

Thank you sir for making this *informative* and *crystal-clear* video.

@jbstatistics 5 жыл бұрын

I'm glad to be of help!

@observever7808 3 жыл бұрын

One of the best 5 minutes of my life LOL

@AmaniAridja 3 ай бұрын

I really appreciate your explanation please do some exercises of discrete probability distribution

@DetectiveConan990v3 9 ай бұрын

man this is so much more helpful than my professor

@helenso9462 Жыл бұрын

YOU ARE AMAZING SIR maybe god bless you!

@MexterO123 9 жыл бұрын

Why can't statistics class be like this. :/ Straight to the point.

@johnn8759 7 жыл бұрын

Memo Pony You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"

@aidanwhite8670 7 жыл бұрын

Thanks for not making this a 20 minute video

@johnn8759 7 жыл бұрын

Aidan White You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"

@giraganipallavi4594 2 жыл бұрын

thq very much sir ur videos are helpfull

@godsavebulusdul9648 2 жыл бұрын

this is awesome

@rachsteve3996 6 жыл бұрын

Wow bro what an explanation Thankssss😇😇😇

@jbstatistics 11 жыл бұрын

You are welcome!

@GoodLuckForever-wi9kb 7 ай бұрын

Best Of Luck Forever For Sharing Such a Deep Knowledge in such a simple way. Well Done Sir

@hanheeyang9837 4 жыл бұрын

thanks bro, u better then ma teacher. and u gots da good voice

@auggie081 10 жыл бұрын

You have awesome videos man, I hope they start getting more attention... Seriously, you >>> Khan academy

@jbstatistics 10 жыл бұрын

Thanks for the compliments auggie! I agree with all your points :)

@anika_ara9363 8 жыл бұрын

totally agree with you! I have found this today and I am loving it! :-D

@anika_ara9363 8 жыл бұрын

totally agree with you! I have found this today and I am loving it! :-D

@jbstatistics 8 жыл бұрын

+Anika_Ara Thanks! I'm glad you find them helpful!

@Jeremy_Fisher 3 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.

@surbhikohli8559 10 жыл бұрын

extremely helpful video. Superb explanation

@probono2876 8 жыл бұрын

Great Stuff, many thanks !!!

@johnn8759 7 жыл бұрын

pro bono You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"

@giliniieriop5700 5 жыл бұрын

Very helpful! Thank you!

@jbstatistics 5 жыл бұрын

You are very welcome!

@otsogilelecta 11 жыл бұрын

far much better than ma lecture's notes

@sanjeevdubey8913 7 жыл бұрын

Awesome man. Keep it up.

@jbstatistics 7 жыл бұрын

Thanks! I'll get back to video production soon.

@Rizz-hu4jq 4 жыл бұрын

thanks sir ....it helps a lot

@adminenetzone6330 8 ай бұрын

Do all descrete probablity distributions depend on bernoulli trail? Or there are descrete distributions that depend on other trails?

@drallisimo34 8 жыл бұрын

cool stuff!!!

@WilliamKinaan 9 жыл бұрын

Kindly why the mean equals to "p"? Should it be "[ (p) + (1-p) ] / 2" = 0.5 ?

@Hersh0828 2 жыл бұрын

Underrated statement 3:43 - "What is the point of all this?"

@jbstatistics 2 жыл бұрын

I try not to just teach the specific topics, but why we might care about it.

@SaqibAlikhantanoli 4 жыл бұрын

@jbstatistics Can you please do a video on Weibull Distribution and Finding it Fitting Parameters (Weilbull Fitting). Thank you for great tutorials!

@Dom-fx4kt 4 жыл бұрын

Brilliant.

@khalidmuhammed3058 4 жыл бұрын

Does it relate to logistic regression ?

@backagain-forgive Жыл бұрын

Thank you

@F91RPG 5 жыл бұрын

Sorry although you said there is not too much difficulty, but I still don't understand why variance= p(1-p)

@ulamss5 Жыл бұрын

So little x can only be 0 or 1?

@Sam91 8 жыл бұрын

well explained, Thankyou. (:

@johnn8759 7 жыл бұрын

Shiv Aditya Mishra You can find detailed information, formulas and calculators for "Bernoulli distribution" on trignosource - "trignosource.com/bernoulli%20distribution.html"

@mohammedsamsuddin5126 5 жыл бұрын

Great Video Keep it up

@jbstatistics 5 жыл бұрын

Thanks!

@harryli2546 2 жыл бұрын

hey guys, quick questions, can we assume x = 3 or 4 instead of 1 or 0? Would that function still hold?

@jbstatistics 2 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.

@TarunArora01 4 жыл бұрын

I came here to get my queries solved but seems like they have been multiplied now :'D

@deginettilahun 7 ай бұрын

very good

@jbstatistics 7 ай бұрын

Thanks!

@muhammadwaseem2304 4 жыл бұрын

Thank you🙂

@pramishprakash Жыл бұрын

Thank you sir....

@jbstatistics Жыл бұрын

You are very welcome!

@gpminsuk 5 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?

@jbstatistics 5 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).

@syedahmedali7417 6 жыл бұрын

plz make a video on beta distribution

@halkcompany7173 5 жыл бұрын

In 5 minutes I understood more than in a 90-minute lecture

@eryseayliid1535 5 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.

@jbstatistics 5 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.

@eryseayliid1535 5 жыл бұрын

@@jbstatistics Thanks for the reply and the content, both are amazing! C:

@pubgdynamodecks4927 7 жыл бұрын

cud these be used for simulation and modelling??

@jbstatistics 7 жыл бұрын

Sure, depending on what you are simulating and modelling :)

@ziekaman2450 2 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.

@kaizerbyparthpratyush217 16 күн бұрын

It's basic algebra bro X and x are the same place holder. Eg- X = x could be X = 4.

@ArijitBiswasdotcom 6 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?

@jbstatistics 6 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.

@ArijitBiswasdotcom 6 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?

@jbstatistics 6 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?

@ArijitBiswasdotcom 6 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!

@jbstatistics 6 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.)

@siyuwang1928 5 жыл бұрын

you saved my gpa

@evanv2258 4 жыл бұрын

college would be much more productive if all professors taught like you do :)

@thabangkhoetha6978 3 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

@Puhazhenthi 10 ай бұрын

❤

@sedatcapar 3 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?

@jbstatistics 3 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.

@kl6544 3 жыл бұрын

but what if the person is pregnant?