Statistics 101: Poisson Practice Problems

[@rorisangmsi7072]

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

[@emmanuelasiedu9273]

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.

[@gauriishu]

Brandon your patience and your way of teaching is amazing! Finally understood Poisson distribution! Heartfelt Gratitude Teacher

[@hiroshimaeda5663]

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!

[@Jackman77100]

This video is soooooo useful... thanks soooo much bro, I don't know what I'd ever do without you.

[@cu99460]

18:15 shouldnt it be 36 deer incidents. Not sure im counting 39?

[@MrPheeww]

thanks Brandon for making such elaborative videos on statistics.... They have truly helped me alot and I am sure will help many others... cheers!

[@obheech]

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..

[@felipedeluca9899]

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]

Yeah. I love Brandon and his videos, but that one caused me a little anguish.

[@hetaeramancer]

@@SouthpawUpstate okay math nerd

[@pratikpal5565]

The first minute was the most important part of the lecture. Thanks sir

[@Surya42930]

Love your videos for your creative way of visual explanations....Thank you Brandon !!!

[@MrTb2arvd]

Your vids and ur teaching skills are awesome, thanks!

[@emptyxnes]

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

[@InfoTunnel]

You are brilliant and your lectures are helpful extremly helpful and thanks

[@gauravadlakha779]

I Really love watching your video, fell in love with Maths again. Thank a lot........

[@zhlen]

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?

[@castortagyamon4033]

great explanation! thank you for this!

[@prabhudaskamath1353]

Great Lecture. Thank you. My foundational aspects are getting stronger .. :-)

[@thingocduytran7430]

I like this video. Thank you so much.

[@karthiknedunchezhiyan7935]

Presentation is very nice and interesting.....Thank you

[@devendrakumar4504]

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.

[@romanvasiura6705]

Thank you!

[@Skanda2202]

Thanks alot>> finally i find gr8 teacher:)

[@mayanksinghal8096]

Great video. Do we not calculate mean and standard dev. of Poisson probability distribution?

[@bryonlessner3732]

thanks homie this video is dope

[@vulnerablerummy]

at 10:05, my result on excel shows 0.1378, i wonder what cause the difference

[@wayneC7]

Hello Professor Foltz, is the a way to get all your presentations?

[@hugodasilvadasilva]

Congratulations. Would you mind if I suggest you to tutorial it using R and excel, as well. That would be nice.

[@chaitanya.teja.g]

Super!!! Thank You! BTW....what's the name of soundtrack at the beginning of video?

[@4tun1]

Walk This Way by Aerosmith.

[@frankiechow39]

Would you make video for both Bernoulli and Piosson Process?

[@joapps8135]

Hi. Where can I find the hand calculation for the 2nd question (re 3 or fewer using ATM)? Thanks

[@DJVWoodworking]

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!)

[@gundenizdemirtas4340]

Thank you so much

[@ManuelLopez-zl1oq]

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?

[@veeaaraar]

Total is 36 with 10 two mile incidents.the mean should be 3.6 only.why it is given as 3.9.please clarify.

[@jaghatai_bulut]

arent we supposed to multiply lambda in a way it represents the entire 3 hour period?

[@SharonMcGahaStone]

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

[@123suvii]

thank you!!!

[@mathankumars896]

How do we plot the graph?

[@abdelbassetkabou3442]

Mr *****, do you have such a video about Exponential Distribution??

[@BrandonFoltz]

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]

Thanks a lot Mr ***** (y)

[@tahabinmahmood4854]

Yeah and weibull distribution too if you can manage

[@aleksandarrusinov9974]

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)

[@sudiptasaha738]

How it is taken 20 miles in case of DEER problem?

[@julietcristobal1055]

Hi Sir, isn't it that the value of e is 2.71828

[@julietcristobal1055]

Your videos really help.Thank you!

[@johneamon2856]

36 deer incidents

[@ukidding]

why would a bank be interested in the probability of 3 or less atm customers at night/

[@dylankazzee9094]

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

[@saurabh75prakash]

Correct answer to first question is : 0.1378 and not 0.139