Statistics 101: Introduction to the Poisson Distribution

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  • Опубликовано: 12 июл 2024
  • Statistics 101: Introduction to the Poisson Distribution
    In this video, we discuss the basic characteristics of the Poisson Distribution using a real-world example involving a checkout line at a supermarket. Having a basic understanding of the binomial distribution is helpful, but not necessary. I also show you how to calculate Poisson probabilities on at TI calculator so have one handy if you want to learn how to use that function. But most of all have fun and enjoy learning!
    My playlist table of contents, Video Companion Guide PDF documents, and file downloads can be found on my website: www.bcfoltz.com

Комментарии • 284

  • @muniu911
    @muniu911 9 лет назад +74

    11:30 lambda of Poisson distribution
    13:05 characteristics of Poisson distribution
    21:28 probability of lambda = 10, x >= 10 (more than 10 people arrive in the queue)
    26:30 bonus question: what is the time interval changes
    28:30 review

  • @amym7075
    @amym7075 4 года назад +6

    Thank you for this incredibly straightforward and easy to understand video!! Also for the pep talk!! :) Do want to point out, as others already have, the green part should be 1-P(10)-P(9)...P(0), not just 1-P(10)!

  • @mckamike
    @mckamike 8 лет назад +17

    I had to pause it at the beginning because I thought my spotify was still playing. Keep Rocking brandon

    • @tuckfield656
      @tuckfield656 6 лет назад +5

      Note that the song is by Poison, perfect for the Poisson Distribution video

  • @cu99460
    @cu99460 8 лет назад +5

    I love the fact that you always start and finish your vids with some positive, motivational advice. Thank you Brandon and keep posting your great work.

  • @XYsNo4BYes
    @XYsNo4BYes 8 лет назад +4

    I have a "knowledge crush" on you and Professor Leonard. Thanks for breaking everything down and making it understandable. Very helpful.

  • @hit_hui_andy
    @hit_hui_andy 3 года назад

    I love how in the intro he calms your nerves before teaching, true educator.

  • @benniejones5174
    @benniejones5174 9 лет назад +1

    The instructor, Brandon Foltz, is excellent. He takes his time to explain the concepts very thoroughly. I recommend him to anyone taking statistics, probability theory, and any other math topic he teaches. Thank you for taking time to explain even the obscure details.

  • @drsheikh
    @drsheikh 8 лет назад +2

    Thats the best introduction I have ever ever heard before an educational video.

  • @rwebo4955
    @rwebo4955 8 лет назад

    Mr Brandon Foltz, you just don't know how uplifted i feel when you encourage me to never give up as i have trouble understanding in class. Thank you so much. I almost gave up because i cant understand the lecture in class but you put it very plain and simple to understand. Thanks for everything

  • @Bienvo0921
    @Bienvo0921 8 лет назад +2

    Brandon, I would like to thank you for your video. I had to drop this class last semester but now I feel more confident. Now I understand how to get the critical path. I did not know that those that don't have the slack are the ones that should be included in the critical path. Like this tip, I learned many other with your video. Once again, thank you....

  • @BooPeeBoop
    @BooPeeBoop 8 лет назад +7

    that encouragement was so comforting, you've earned my sub:)

  • @AhmedIbrahim-cr6gp
    @AhmedIbrahim-cr6gp 9 лет назад

    I searched the internet for a good Poisson Distribution lesson, among the 9 videos i watched, your video is the best, thank you so much!, you make things sound a lot easier, please don't stop, thanks again!

  • @rodrigo6426
    @rodrigo6426 10 лет назад +2

    Wow Brandon. This video was A M A Z I N G!! Not just the knowledge you're sharing with us but your kind words of encouragement helped a lot. Thanks for these amazing videos. You rock!

  • @leticiacastro6100
    @leticiacastro6100 4 года назад

    I love these videos they're getting me through my statistics class I can't thank you enough for making these!!

  • @aureliohess9349
    @aureliohess9349 7 лет назад

    Dear Brandon, you are good. I´ve been watching your lectures and I can say that you really make me understand statistics. Thank you very much!

  • @nnmkb
    @nnmkb 5 лет назад

    Thanks Brandon. All your videos are just awesome. You explain the concepts really well.

  • @margaritaschneider6226
    @margaritaschneider6226 6 лет назад +6

    Thank you for the pep talk, I needed that

  • @moya-gayehamilton1132
    @moya-gayehamilton1132 5 лет назад

    The pep talk at the beginning of ur presentation really helped! Thnx so much!

  • @zoeylopez7238
    @zoeylopez7238 10 лет назад +2

    Very helpful with my homework, my teacher is terrible with explaining so im learning business stats on my own. Thanks again :)

  • @coconutart6874
    @coconutart6874 2 месяца назад

    One of the best videos I've seen on the subject Thank you!

  • @hsweezytube
    @hsweezytube 7 лет назад +2

    god bliss you for making these videos! I cant tell you how much this video has helped me understand these concepts in probability. thank you so much

    • @BrandonFoltz
      @BrandonFoltz  7 лет назад

      You are very welcome Huda! Keep on learning. ⚡

    • @andressanchez4545
      @andressanchez4545 7 лет назад

      Brandon Foltz do you have any videos regarding hypergeometric distribution? i don't seem to find any and your explanation methods are helping me so much!

  • @amygray1475
    @amygray1475 10 лет назад +2

    Mr. Foltz, I want to thank you soooo much for making these videos!!! Thank you for explaining things so well, it is greatly appreciated!!! I'm currently taking stats online (as I am an RN getting my bachelors solely online), and hit a rough patch. My brain is tired of math and I should have taken a break before starting stats. Anyway, my worries are over now that I understand what is going on in class, THANK YOU!!!

  • @BrandonFoltz
    @BrandonFoltz  11 лет назад +1

    Hello! Thank for the comment. In this video, the x=10 comes from the problem. Since we are interested in 11 or more arrivals, the "10" is the upper boundary of the part we aren't interested in and will "chop off" or subtract from 1. If you have any more questions please let me know! All the best, B.

  • @alchemication
    @alchemication 4 года назад

    Amazing explanation and examples. Exactly what I needed.

  • @keenannaidoo4854
    @keenannaidoo4854 7 лет назад

    This is the first video of yours I've watched and your introduction was unexpected but much appreciated! Keep it up! :)

  • @DickHoskins
    @DickHoskins 10 лет назад +70

    At 23:45 is not correct for the purple region, it is only for x=10. You have to add uo the propability for 0 to 10 and then subtract from 1.

    • @amanbagrecha
      @amanbagrecha 5 лет назад +6

      he said that later that we have to take cumulative to get that result!

    • @georgesmith3022
      @georgesmith3022 4 года назад +21

      @@amanbagrecha even so, what he wrote is wrong. The correct is 1 - p(x=10)-p(x=9)....-p(x=0l

    • @mty1966
      @mty1966 2 года назад +1

      replay the video three times before seeing your comment. Thanks

    • @42laar
      @42laar 2 года назад +2

      yes, the top right of 1 - p(10) at 22:28 is wrong and misleading

    • @blueberryoatmeal4009
      @blueberryoatmeal4009 2 года назад

      Yes, thank you for restoring my sanity.

  • @Zhivatma
    @Zhivatma 7 лет назад

    Great explanation! Subscribed
    I often look for in-depth lessons and often get disappointed with all these shallow 2.5 minute videos. I finally found what I've been looking for!

  • @kullisaini
    @kullisaini 8 лет назад

    Thanks for such a wonderful explanation. It is explained in the most simple way. Excellent Job Done.

  • @parisanaraei
    @parisanaraei 9 лет назад +1

    Videos are perfect. Please continue.

  • @etiennensereko1262
    @etiennensereko1262 2 года назад

    You are the best teacher ever

  • @ivanaristic2418
    @ivanaristic2418 3 года назад

    your intro literally gave me so much strength thank you

  • @spriing85
    @spriing85 10 лет назад

    Thank you very much for your help. I like the fact that you go slowly and define your terms as you go along. I am taking stats from an Ivy League professor, and cannot understand anything. Your video made stats so much easier to understand. I will definitely be checking more of them out in my course. Thanks again!

  • @mannyelizondo6721
    @mannyelizondo6721 10 лет назад

    Thanks for the quick motivation on the introduction of this video! Much needed.

  • @srinivasulukadaveru9750
    @srinivasulukadaveru9750 5 лет назад

    Thank you Sir, for creating and sharing quality video lectures. It helped me in updating my statistics subject knowledge

  • @gariggs100
    @gariggs100 6 лет назад

    Thank you so much. I was having problems grasping this subject. Your video greatly helped!

  • @jamiebrittton
    @jamiebrittton 6 лет назад

    I enjoy the positivity at the beginning of your video!

  • @LINDCYMAEEE
    @LINDCYMAEEE 8 лет назад +1

    You are AMAZING!!! The most clear and concise directions I have found for this problem thus far! I have been searching all night for the correct answer for my "more than" equation. Thank you SO MUCH! You don't know how much this descriptive and concise video has saved my night :-) I'm taking Stats for summer, and I have a final tomorrow. Yay!! Btw, has anyone ever told you that you sound a bit like Seth Rogan? Love it! Haha

  • @angypatriciaperezmartinez5911
    @angypatriciaperezmartinez5911 10 лет назад

    Thank you soooooo much, your example was so easy to understand and your explanation flowed very well. Thank you.

  • @rur13223
    @rur13223 10 лет назад

    Nicely explained, thank you for the review and positive encouragement.

  • @resourcefulgirl
    @resourcefulgirl 7 лет назад +1

    Thanks for the clarification on the formula. I needed to brush up on this for medical research. Figured I had better subscribe. I haven't taken statistics for 20 years!

  • @pebre79
    @pebre79 10 лет назад

    Thanks for this. You presented the material very clearly and went through the steps at a good pace.

  • @entidoe8
    @entidoe8 9 лет назад

    Very NICE & CLEAR explanation !!. Thank You !!

  • @shaz-z506
    @shaz-z506 5 лет назад

    What a great start of the presentation, blending the song by poison.

  • @maryamsaeed6515
    @maryamsaeed6515 5 лет назад

    thank you. your video helped so much and words meant a lot. needed them

  • @theconstantchange
    @theconstantchange 4 года назад

    what a beautiful way to start a video.. Endearing encouragement.
    Thanks a lot man! I really needed that.

  • @ayush2448
    @ayush2448 6 лет назад +2

    Hey @Brandon Foltz , It really helped me thanks for making these videos. :)

  • @tru4123
    @tru4123 8 лет назад +1

    simply n very intrestingly explained!! awesome

  • @samuelsmylie6803
    @samuelsmylie6803 11 лет назад

    Brandon,
    I am a postgrad student and should ultimately be familiar with these topics, but alas am not (oops), your videos are extremely helpful!! They allow me to gain an understanding which can then be illustrated and re-enforced with further study.
    They also just highlight small concepts which I may miss now and again in my haste to learn the subject, and your videos just easily state these step by step and am like "Duh!"
    Thank you for your time in making these!!! Extremely helpful!!

  • @bambino53
    @bambino53 3 года назад

    Your videos are great! Thank you so much Brandon!

  • @user-tv6dh2jo5h
    @user-tv6dh2jo5h 8 лет назад

    Good video, you explain the concept very clearly, thank you!!!!

  • @UndercoverEmployee
    @UndercoverEmployee 10 лет назад

    I needed a quick lesson to help me understand the Poisson Distribution a little better . . . and this lesson did help. The pace of the lesson is good and the info seemed understandable.

  • @19775021
    @19775021 3 года назад

    well articulated material with the rich explanation. Thank you.

  • @bennykhoo99
    @bennykhoo99 11 лет назад

    It certainly make my understanding for Poisson easier! Thanks

  • @adilnawaz1985
    @adilnawaz1985 7 лет назад +1

    Explained very well.! A more better reason for the E(x) at or around 10 ( one of the discrete values as you have mentioned) could be the fact that E(x) converges to the mean value for infinite number of trials. Apart from this, a good job! Keep it up.

  • @joevandie
    @joevandie 9 лет назад

    This video is awesome! Thank you soo much, now I've understood a lot more about Poisson Distribution. :D

  • @taekwondotime
    @taekwondotime 6 лет назад +2

    Another excellent video!
    NOTE: Textbooks often have a *table of Poisson sums* at the back. I think students should know how to look up the table values as well like they typically do with other distributions. (It's great that the calculator might have a built-in function that can do it too, but every calculator is different and some don't have that feature at all.)

  • @TheMegaMilkman
    @TheMegaMilkman 10 лет назад

    Thank you so much! Very helpful! You explain it in a very simple manner. The positive message in the start was nice also. :)

  • @yolanankaine6063
    @yolanankaine6063 3 года назад

    I am here to get better! Thank you for the encouragement

  • @connorwhealton8844
    @connorwhealton8844 7 лет назад +1

    thanks for the words of encouragement

  • @sheldonvetter5502
    @sheldonvetter5502 4 года назад

    Thank you for boosting my understanding

  • @PlayStationKing
    @PlayStationKing 9 лет назад

    Even though the C.D.F is incorrect, all of the instructions before are correct. Thus, figuring out the C.D.F was not a problem. Thank you soooo MUCH

  • @shup132
    @shup132 9 лет назад

    Thanks for this it helped a lot for my decision analysis module at University. Tip for those who use Excel; you can use the formula POISSON with the arguments (X, Lambda, FALSE) to easily calculate the Poisson distribution.
    :)

  • @fareedniazmand2691
    @fareedniazmand2691 7 лет назад

    Hi, I have to say that it is a very good introduction to the poisson probability distribution.

  • @adewolekayode6148
    @adewolekayode6148 8 лет назад

    You are really great. Thank you for this video.

  • @kubirizag
    @kubirizag 4 года назад

    THank you a million times, thank you again! Awesome!

  • @MrChandrashekar11
    @MrChandrashekar11 10 лет назад

    these videos help me i have got some knowledge of operational managemant.

  • @ameroamigo1
    @ameroamigo1 3 года назад

    This presentation was much better than the same Harvard Stats course.

  • @BrandonFoltz
    @BrandonFoltz  11 лет назад

    Great! Thank you Benny :) All the best of luck my friend, B.

  • @TheJoannalicious
    @TheJoannalicious 4 года назад

    This was so helpful! Thank you so much!

  • @bhavinuttekar2283
    @bhavinuttekar2283 7 лет назад

    Hey Brandon..thanks and keep on uploading such stuff...I liked the way you explain...Good

  • @BrandonFoltz
    @BrandonFoltz  11 лет назад +2

    Hi Samuel! Oh thank so much. :) No need to feel "duh" at all. Unless made concrete this stuff just isn't intuitive on its own. But kudos to you for your hard work and if I can ever be of assistance please let me know. All the best! - B

  • @SC-oe9nc
    @SC-oe9nc 7 лет назад

    The legend this guy !!

  • @MrAvalos91
    @MrAvalos91 8 лет назад

    YOU ARE GREAT! SHAME ON MY PROFF WHOSE BOOK IS AS BAD AS HE IS TEACHING. you are a life saver.

  • @deathmetal124
    @deathmetal124 8 лет назад

    loved the background at the end!

  • @hiphopunike14
    @hiphopunike14 10 лет назад

    Very nice review; thanks for posting!

  • @b.g.3851
    @b.g.3851 5 лет назад +2

    The fact that you're here means you've come pretty far in your education = feel good :-)

  • @BrandonFoltz
    @BrandonFoltz  10 лет назад

    Thanks for the comment. I had already addressed this issue in a previous comment, but I went ahead and put an annotation in the video so no one else would be confused.

  • @aryandhitowidhinugroho5929
    @aryandhitowidhinugroho5929 9 лет назад +8

    Yep, it is a really cool explanation! However, the correct number for e (which is Euler's number) is 2,718... Again, this doesn't reduce your coolness. Thanks a lot! God bless you.

    • @BrandonFoltz
      @BrandonFoltz  9 лет назад +3

      Aryandhito Widhi Nugroho Thank you! Yes, typos and transpositions happen :) Thank you so much for watching and stay cool! Best, B.

  • @colinthompson3345
    @colinthompson3345 5 лет назад

    Big thankyou. This is really helpful. :)

  • @thingocduytran7430
    @thingocduytran7430 3 года назад

    I like this video. thank you so much.

  • @mirandamccaslin7406
    @mirandamccaslin7406 8 лет назад

    thank you so much this help me out so much to put it in your calculator go to 2nd vars poissonpdf enter lambda then a comma then you number of expected outcomes.

  • @ScienceGuides
    @ScienceGuides 9 лет назад

    Brilliant video - thank you. Looking into statistics for the second time in my life now, that I actually have a purpose for it! :-) Looking into how radioactive decays can be described as a poisson distribution when described as (number of decays)/(time interval). It´s beautiful to see the distribution occur in real time in a matter of 20 seconds or less. :-)

  • @MrTb2arvd
    @MrTb2arvd 3 года назад

    Your videos are very good!

  • @Surya42930
    @Surya42930 11 лет назад

    Once again...Thank youuuuuu Brandon !!!!

  • @richardnz100
    @richardnz100 8 лет назад

    Brilliant! Thank you!!

  • @perishingflames
    @perishingflames 10 лет назад

    Thanks for clearing that up and thank you for the video as well

  • @marcellodewit9654
    @marcellodewit9654 6 лет назад

    very good video, really easy to understand

  • @shaherzyoud4572
    @shaherzyoud4572 10 лет назад

    Thanks , I understood the base to construct the graph

  • @hcgravaas
    @hcgravaas 7 лет назад

    Thanks for the upload. It was very helpful! =)

  • @ed272011
    @ed272011 10 лет назад

    very educative, thank you so much

  • @robertmuzuza5407
    @robertmuzuza5407 9 лет назад

    Thanks for the video its quite informative

  • @shrenikchougule930
    @shrenikchougule930 10 лет назад

    Very informative and easy to understand. I should have given little bit more attention in school

  • @Xxxcappie23
    @Xxxcappie23 9 лет назад

    Just what I needed, fantastic video!
    It really helps that you put videos with proper labels, now I don't have to jump all over the internet to find an explanation, now we can finally follow the course in ascending order.
    Please post more and more!
    Do you recommend any books to work from for statistics, I am a Cambridge AS/A level student?

  • @shaloms1
    @shaloms1 7 лет назад

    Thanks, very helpful

  • @dixonw.dwanyen3500
    @dixonw.dwanyen3500 10 лет назад

    Thank you so much for this video. It is very much simplified, but I was left trying to figure out how the probabilities of x10 were determined. I understand it to be P(x10) = 1.

  • @mokyalewmisganaw4651
    @mokyalewmisganaw4651 8 лет назад

    Wonderfull lecture I love it

  • @chenglengchan8971
    @chenglengchan8971 8 лет назад

    Your stats videos are great. They are clear and helps me understand the concepts. Would you do one on bayesian probabilities as I find this hard to understand and think that you may be able to enlighten me and many others through your videos.

  • @ingridmurray137
    @ingridmurray137 8 лет назад

    Wow you are truly awesome!!! I got this

  • @ylazerson
    @ylazerson 6 лет назад

    Great video - thanks!

  • @mananshah2423
    @mananshah2423 7 лет назад

    Great Job.!