Statistics 101: Poisson Practice Problems
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- Опубликовано: 15 дек 2012
- 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
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
18:15 shouldnt it be 36 deer incidents. Not sure im counting 39?
Brandon your patience and your way of teaching is amazing! Finally understood Poisson distribution! Heartfelt Gratitude Teacher
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.
This video is soooooo useful... thanks soooo much bro, I don't know what I'd ever do without you.
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!
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
Yeah. I love Brandon and his videos, but that one caused me a little anguish.
@@SouthpawUpstate okay math nerd
thanks Brandon for making such elaborative videos on statistics.... They have truly helped me alot and I am sure will help many others... cheers!
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..
Love your videos for your creative way of visual explanations....Thank you Brandon !!!
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
I Really love watching your video, fell in love with Maths again. Thank a lot........
The first minute was the most important part of the lecture. Thanks sir
Your vids and ur teaching skills are awesome, thanks!
You are brilliant and your lectures are helpful extremly helpful and thanks
Total is 36 with 10 two mile incidents.the mean should be 3.6 only.why it is given as 3.9.please clarify.
Great Lecture. Thank you. My foundational aspects are getting stronger .. :-)
Presentation is very nice and interesting.....Thank you
great explanation! thank you for this!
Thanks alot>> finally i find gr8 teacher:)
I like this video. Thank you so much.
thanks homie this video is dope
Thank you!
Thank you so much
thank you!!!
Congratulations. Would you mind if I suggest you to tutorial it using R and excel, as well. That would be nice.
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.
36 deer incidents
Great video. Do we not calculate mean and standard dev. of Poisson probability distribution?
Hi. Where can I find the hand calculation for the 2nd question (re 3 or fewer using ATM)? Thanks
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!)
Super!!! Thank You!
BTW....what's the name of soundtrack at the beginning of video?
Walk This Way by Aerosmith.
Would you make video for both Bernoulli and Piosson Process?
Hello Professor Foltz, is the a way to get all your presentations?
Mr *****, do you have such a video about Exponential Distribution??
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.
Thanks a lot Mr ***** (y)
Yeah and weibull distribution too if you can manage
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
at 10:05, my result on excel shows 0.1378, i wonder what cause the difference
How do we plot the graph?
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)
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?
How it is taken 20 miles in case of DEER problem?
Hi Sir, isn't it that the value of e is 2.71828
Your videos really help.Thank you!
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?
why would a bank be interested in the probability of 3 or less atm customers at night/
18:33 lambda should be 3.6 you made a mistake! pls fix it or add an annotation
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
Correct answer to first question is : 0.1378 and not 0.139