Understanding the Binomial Probability Distribution - statistics help
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- Опубликовано: 7 авг 2024
- Many statistical courses teach about the binomial probability distribution.
The binomial distribution is very useful for modelling certain discrete happenings.
This video explains when the binomial can be used, with an example of breaking ice cream cones. If you have questions, please put them in the comments below.
0:00 Introduction
0:28 Conditions for a binomial distribution
0:58 Example of Luke's ice cream cone breakage P(Breakage = 1)
2:10 Ways of calculating binomial probabilities
2:51 P(2 or more break)
3:19 Understanding the binomial distribution
5:03 Requirements for binomial distribution
Here is a link to the online calculator: onlinestatbook.com/2/calculato...
See creativemaths.net/videos/ for all of Dr Nic's videos organised by topic.
#DrNicStats #Statistics #Probability
Thank for another excellent video! And yes, more examples of Binomial distribution would be wonderful!
Thank you so much. Your videos are easy to understand. Amazing job by the editing team, it makes the experience even more fun.
Thanks. I do it all now. My son taught me to edit.
Statisticus van be very frustrating when you don’t understand it. Thanks for these awesome and simple explanations. You honestly made me want to learn more about statistics than I already have to for my physics classes. Thank you!
You are right about statistics being frustrating. It is so nice to hear that you would like to learn more because of my videos. You can find them in a more organised form on our website: creativemaths.net/videos/
Thank you. Dr. Nic,
Your examples were exactly what I needed. Explaining visually what each letter represents is extremely helpful.
Glad it was helpful!
I can imagine a parent using Binomial Probability Distribution to argue with their kids on why twas unlikely that the cones broke on their own.
Thankyou Dr. Nic's.
Thanks heaps for these!
Oh my gosh this video is a life saver! The website was so much easier to use than a calculator!
I'm glad to hear it. I like that it shows the graph of the results as well so you can better understand what is going on.
hank you very much for the video, very well explain, i will love a video on Poisson distribution. Thanks
Yeah! Hank you
Thank You for lucid and comfortable explanation.
Thank you for the great description. Lucid and comfortable - I like that.
fantastic, thank you for this explanation
Glad it was helpful!
Doc, you are a life-saver. Your videos have been very useful.
Please complete this series by including explanations for each distribution. Thank you.
I will do what I can. I have started one on the poisson distribution.
Mind blowing . Thanks so much
Most welcome 😊
Thanks. This helps with NCEA probability distributions
Glad to hear it.
Really helpful, I wish I had you as my math teacher, thank you so much
Any time!
great work:)!
Thanks a lot!
Great tutorial!
Thank you!
Arigatou Senpai Nic
❤️❤️❤️
Hello can you do T-student and Q-square distribution please?
Thanks for the suggestion. I'll add it to the list. (Do you mean chi-squared?) They are both variations on the normal distribution and mainly used in statistical analysis rather than simulation and modelling, so I find them less interesting, I must confess.
Please upload video on Poisson
I'm currently working on ANOVA, but Poisson is on the list. I only do these in my spare time as I have to earn a living.
how would I do it without a calculator0r
Look up on wikipedia or similar for the formula for the binomial distribution - or you can use tables as we used to do when I was at school before computers were around.
What does the '9' below represent??
Hi Andres. It really helps if you put a time stamp to go with your question. I did not know what 9 you are talking about and had to watch the video to find it at 2:25. - I presume that is it. The 9 is just a number left in there from a different search for a probability. Only the numbers to the right of the selected radio button are relevant.
@@DrNic Dr. Nic, I see. Thank you, and I apologize for not including the timestamp. Thank you again!
@@amunevar All good - I thought I would mention it in case you want to ask more questions.
Why is probability 0.05 it should be 0.5 ??
Why should it be 0.5?