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Statistics 101: Poisson Practice Problems 

Brandon Foltz
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Statistics 101: Poisson Practice Problems
In this video, we walk through two practice problems involving the Poisson Distribution. The first problem examines customer arrivals to a bank ATM and the second analyzes deer-strike probabilities along sections of a rural highway. I do assume you have a basic understanding of the Poisson Distribution. If not please check out my previous videos. Keep working hard, keep learning, and have FUN! Enjoy!
My playlist table of contents, Video Companion Guide PDF documents, and file downloads can be found on my website: www.bcfoltz.com

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15 дек 2012

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Комментарии : 54   
@rorisangmsi7072
@rorisangmsi7072 9 лет назад
I just want to say God bless you, you are changing lives, helping create professionals and building our communities. All the way from South Africa
@cu99460
@cu99460 8 лет назад
18:15 shouldnt it be 36 deer incidents. Not sure im counting 39?
@gauriishu
@gauriishu 5 лет назад
Brandon your patience and your way of teaching is amazing! Finally understood Poisson distribution! Heartfelt Gratitude Teacher
@emmanuelasiedu9273
@emmanuelasiedu9273 9 лет назад
Thanks a lot for the posting. You are a real teacher and inspirational to me. Your opening, teaching, and closing remarks did something to me that I can not explain. All I can say is God Bless you and your family in every area of your life.
@felipedeluca9899
@felipedeluca9899 7 лет назад
You produce great videos and they are helping me alot with my classes. In this video, I noticed you say that e = 2.17128 and I believe its a typo because e = 2.71828
@SouthpawUpstate
@SouthpawUpstate 5 лет назад
Yeah. I love Brandon and his videos, but that one caused me a little anguish.
@hetaeramancer
@hetaeramancer 3 года назад
@@SouthpawUpstate okay math nerd
@Jackman77100
@Jackman77100 7 лет назад
This video is soooooo useful... thanks soooo much bro, I don't know what I'd ever do without you.
@hiroshimaeda5663
@hiroshimaeda5663 6 лет назад
Your series of video are amazing. It helps me a lot to review basics and realize how fun statistics is again and again. Thank you!
@emptyxnes
@emptyxnes 10 лет назад
Great Video. I like how you also show how to do it in a TI-83. Slight correction in your first correction. its 0.138
@veeaaraar
@veeaaraar 9 лет назад
Total is 36 with 10 two mile incidents.the mean should be 3.6 only.why it is given as 3.9.please clarify.
@MrPheeww
@MrPheeww 10 лет назад
thanks Brandon for making such elaborative videos on statistics.... They have truly helped me alot and I am sure will help many others... cheers!
@Surya42930
@Surya42930 11 лет назад
Love your videos for your creative way of visual explanations....Thank you Brandon !!!
@pratikpal5565
@pratikpal5565 4 года назад
The first minute was the most important part of the lecture. Thanks sir
@obheech
@obheech 6 лет назад
The videos are so wonderful and the examples are so real life.. I am very much impressed.. Please carry on your wonderful work..You are a excellent teacher..
@gauravadlakha779
@gauravadlakha779 5 лет назад
I Really love watching your video, fell in love with Maths again. Thank a lot........
@InfoTunnel
@InfoTunnel 5 лет назад
You are brilliant and your lectures are helpful extremly helpful and thanks
@MrTb2arvd
@MrTb2arvd 4 года назад
Your vids and ur teaching skills are awesome, thanks!
@devendrakumar4504
@devendrakumar4504 6 лет назад
Hi Brandon! Regarding the deer accidents, how does probability even help in putting signboards, as the 2 mile region with maximum number of deer carcasses can be marked directly without calculating the probabilities. I believe even after calculating probabilities one would get identical results.
@prabhudaskamath1353
@prabhudaskamath1353 4 года назад
Great Lecture. Thank you. My foundational aspects are getting stronger .. :-)
@castortagyamon4033
@castortagyamon4033 2 года назад
great explanation! thank you for this!
@karthiknedunchezhiyan7935
@karthiknedunchezhiyan7935 6 лет назад
Presentation is very nice and interesting.....Thank you
@bryonlessner3732
@bryonlessner3732 8 лет назад
thanks homie this video is dope
@Skanda2202
@Skanda2202 9 лет назад
Thanks alot>> finally i find gr8 teacher:)
@thingocduytran7430
@thingocduytran7430 3 года назад
I like this video. Thank you so much.
@123suvii
@123suvii 8 лет назад
thank you!!!
@gundenizdemirtas4340
@gundenizdemirtas4340 6 лет назад
Thank you so much
@romanvasiura6705
@romanvasiura6705 Год назад
Thank you!
@hugodasilvadasilva
@hugodasilvadasilva 7 лет назад
Congratulations. Would you mind if I suggest you to tutorial it using R and excel, as well. That would be nice.
@mayanksinghal8096
@mayanksinghal8096 4 года назад
Great video. Do we not calculate mean and standard dev. of Poisson probability distribution?
@zhlen
@zhlen Месяц назад
I don't get it in the histogram at 19:22. why is there 10 and 11 while no these numbers in the graph at 17:46?
@johneamon2856
@johneamon2856 10 лет назад
36 deer incidents
@ManuelLopez-zl1oq
@ManuelLopez-zl1oq 4 года назад
Not sure if I missed something, but the problem does not give us the total number of incidents. How did you come up with 39 incidents?
@frankiechow39
@frankiechow39 6 лет назад
Would you make video for both Bernoulli and Piosson Process?
@wayneC7
@wayneC7 8 лет назад
Hello Professor Foltz, is the a way to get all your presentations?
@joapps8135
@joapps8135 8 лет назад
Hi. Where can I find the hand calculation for the 2nd question (re 3 or fewer using ATM)? Thanks
@DJVWoodworking
@DJVWoodworking 6 лет назад
Been going through these videos to hand over to my greenbelts, albeit a bit late to reply here's what I think you're looking for: ((1.6^3 * 2.71828^-1.6) / 3!) + ((1.6^2 * 2.71828^-1.6) / 2!) + ((1.6^1 * 2.71828^-1.6) / 1!) + ((1.6^0 * 2.71828^-1.6) / 0!)
@chaitanya.teja.g
@chaitanya.teja.g 6 лет назад
Super!!! Thank You! BTW....what's the name of soundtrack at the beginning of video?
@4tun1
@4tun1 3 года назад
Walk This Way by Aerosmith.
@aleksandarrusinov9974
@aleksandarrusinov9974 9 лет назад
I do not quite get why the floor number to our lambda (mean , expected value) has always bigger probability - in the first case we have 1.6 mean with P(X=1)> P(X= 2) and on the second we have mean 3.9 but again we have P(X=3) > P(X=4)
@SharonMcGahaStone
@SharonMcGahaStone 10 лет назад
I still do not understand I need to use the calculator how do I use the calculator to do this calculation? I have a TI30XS
@vulnerablerummy
@vulnerablerummy 5 лет назад
at 10:05, my result on excel shows 0.1378, i wonder what cause the difference
@mathankumars896
@mathankumars896 5 лет назад
How do we plot the graph?
@abdelbassetkabou3442
@abdelbassetkabou3442 9 лет назад
Mr *****, do you have such a video about Exponential Distribution??
@BrandonFoltz
@BrandonFoltz 9 лет назад
Abdelbasset KABOU Hello! No I do not at the moment since it is not covered much in into stats courses but I hope to someday soon. Thanks for the idea / request. Best, B.
@abdelbassetkabou3442
@abdelbassetkabou3442 9 лет назад
Thanks a lot Mr ***** (y)
@tahabinmahmood4854
@tahabinmahmood4854 7 лет назад
Yeah and weibull distribution too if you can manage
@sudiptasaha738
@sudiptasaha738 4 года назад
How it is taken 20 miles in case of DEER problem?
@julietcristobal1055
@julietcristobal1055 4 года назад
Hi Sir, isn't it that the value of e is 2.71828
@julietcristobal1055
@julietcristobal1055 4 года назад
Your videos really help.Thank you!
@ukidding
@ukidding 6 лет назад
why would a bank be interested in the probability of 3 or less atm customers at night/
@dylankazzee9094
@dylankazzee9094 6 лет назад
A certain kind of sheet metal has, on average, 8 defects per 14 square feet. Assuming a Poisson distribution, find the probability that a 17 square foot metal sheet has at least 14 defects. Round your answer to four decimals. this is not working with anything
@Zolfigarr
@Zolfigarr 7 лет назад
18:33 lambda should be 3.6 you made a mistake! pls fix it or add an annotation
@saurabh75prakash
@saurabh75prakash 6 лет назад
Correct answer to first question is : 0.1378 and not 0.139
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