Statistics 101: Binomial Mean and Standard Deviation
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- Опубликовано: 8 авг 2024
- Statistics 101: Binomial Mean and Standard Deviation.
In this video, we learn how to calculate the mean and standard deviation for a binomial distribution. Two examples are provided and we tie the concept back into the previous video where we discussed cumulative binomial probabilities. Enjoy!
My playlist table of contents, Video Companion Guide PDF documents, and file downloads can be found on my website: www.bcfoltz.com
You are welcome Danny! Thank you for taking the time to watch. Keep up the hard work. Best, B.
Mr Foltz, you are the answer to my prayers! THANK YOU so much for making these videos. You've given me encouragement I desperately needed to be successful in Statistics. Bless you!
You're the badass'ist statistics teacher I've ever seen! :)
Thanks to infinity and beyond!
This is outstanding training in statistics, clearly explained, thank you.
Mr Foltz, you are an amazing teacher! Please never stop what you are doing.Bless you!
Very informative, much appreciated.. as an aside, you gave me a chill of genuine terror when you referenced nearly half of the respondents have a pre-enlightenment level of understanding.
One more thing. Because your instructional video's are well-prepared and easy to understand, it takes minimal time for me to re-learn and apply the methods at work. Basically all I need is an overview and your video's are very good at doing this. Thanks,,,
Mr. Foltz, I started watching your Stats 101 playlist about a year-and-a-half ago. I got through most of it but probability theory didn’t stick for some reason. I went back and watched the videos in Playlists 4 and 5 (up to this one) this month, and things just clicked. Your way of explaining things makes even a (once) quasi-innumerate like me understand. You and your videos are a lifesaver. I knew I’d get probability theory once I took a break and came back to it, knowing how helpful your coverage of other stats topics have been. The correlation coefficient between watching your videos and understanding is a solid 1!
Thank you so much! But you did all the hard work. 🤗
You are the best teacher for slow learners like me. Hats off.
Hi Beth! Thank you so much for your kind words. I am glad you and the roomie are finding them helpful. Good luck on your exam and stay tuned for future videos! All the very best, B.
Brilliant :) I'm currently studying Statistics as part of my Bachelor of Business in hospitality Management and I have never even seen half of these equations and formulas before, your videos have really helped me understand this subject with much more ease. I wish you did these for every subject lol, you have a wonderful teaching style, please keep making your videos :)
At the end of each video, you ask if there is anything better you can do. No, there is nothing that you can do better because these series all are the best! Your hard work and dedication are amazing!
Great videos. My undergrad's was in System Engineering and I use inferential stats in my finance career in about 20% of my work. I am a Lean Six-Sigma Black Belt so when I need to refresh my memory of stats based on the data that I collect, I like to use RUclips as instructions to help me. Your video's are a huge asset in helping me re-learn calculations and apply my data to my LSS projects. My current project uses attribute data so your Binomial Distribution vid's have helped me tremendously.
Thank you so much Pro. Foltz, I am working on my BS in Psychology, and this is one of my final courses and though we are only two weeks in I was at the point of dropping class because I just could not get it and decided to come to youtube and see what was available. You explain things slowly and clearly, and I am starting to understand, I will be using your videos to help me finish this course successfully. Thank you again.
This video is saving my life in stats!!! Thank you so much!!! My roommate and I are studying for our exam tomorrow using your videos!
I really appreciate your video Mr Foltz it really simple to understand. Yet, i thought it will be good if you explain how the formula comes from such as standard deviation in this video. Thank you. Godspeed
Great !!!!!
Thank you very much for your help.
Keep Moving.
Thank you Brandon.....Love your videos...Crystal clear explanation
Thank you so much! I was ill and missed my class and I've got exams tomorrow! I'm flipping out, I appreciate your video.
Brandon, your videos are helping me to clear very basic concepts. I have referred few books earlier to learn Statistics, but every book had something missing. I used to get confused in midway.
thanks so much and you make concepts clear
Thanks for the kind words of encouragement
Awesome video - thanks!
Hello, the video was definitely helpful and helped me tremendously with my current week's homework. It is a bit difficult trying to do STATS online without some face-to-face interactions. So the video definitely HELPED!!! Thank you :)
Thanks for the videos .... they are awesome :)
Thank you Brandon, you made my life simpler :)
I like this video. thank you so much.
thank you very much I have been looking for finding mean of binomial distribution
keep doing your good work, tnx
Best teacher ever
Thank you So much.
@Brandon, thanks so much for making these videos, they have been extremely helpful to me. Can you also please suggest some text/book/ebook which is pretty close to the content in the video, either written by you or others, which I can go back and review, when in doubt?
HOT DIGGITY DOG! I HAVE STRUCK GOLD WITH FINDING THESE VIDEOS! Thank you thank you thank you thank you!
thank you i am getting it now
Your lectures are of excellent quality . could you add the implementation areas at the end of the lecture
apart from the fact that i got 0.0079 instead of 0.00028 for more than 5 users im pretty satisfied :') cheers helped a lot !
In this video, it would have helped if you proved to us that the gallup poll was a binomial experiment (i.e. meets all the requirements of a binomial experiment) and then apply the formulas for the mean and the standard deviation. In general it is hard for me to know how to reason about the experiment itself, so anything that helps me figure out what type of a distribution we're looking at would be helpful. My 2 cents...
Hi, at the end of the video you mention that you covered the probability of 6 or more sales. In which video do you cover that one? Thanks for all your support!
Yes, I noticed that. He actually covers less than and greater than in video 5.8. so watch 5.6, then 5.8 and then 5.7 (this one).
Hey Foltz, Good series, keep up the good work. A little advice if we can have proof how at @8:00 we got mean = n.p? Because it uses to be Summation of outcome x probability(outcome).
This looks really helpful!
I really need to watch the one or two you made before it though... how do I find them? Thank you!
Hello! Thanks for your comment! You can navigatge the videos here:
ruclips.net/user/BCFoltzplaylists
Let me know if you have any questions! - B
In practice, How calculate the probability of successe rate?
How did u find the formula for mean and standard deviation...plz explain
Moo Like a Cow...... LMAO xD
You got me on the intro song
Hi, you mention, Cumulative Probability as being the content covered in one of your videos. May I know the title of that video?
Hello. I'm getting ready to study for the midterm exams, i'm looking to find your video in order starting from the 1st video, I see that some of videos them have #'s on it, but I don't see the 1st, 2nd and 3nd,......videos, where I can find them?
Beta Marashi Hello! Go to the playlist page at ruclips.net/user/bcfoltzplaylists and everything there is labeled (no PL02 though). Once you are in a playlist everything is in order as well.
Hello, great video. You had me until we got to the end with Joan and Margo. How am I not getting for Joan 10x.75(6th power) and .25(4th power) to equal .146? What am I doing wrong
Im not sure I understand correctly, in the last video you said that the question was: What is the probability that each salesperson makes exactly 6 sales on any given day. And we saw that Margo had the upper edge on that by circa 2 %. However now you states that we discussed in the last video: What is the probability that each salesperson makes AT LEAST 6 sales on any given day? But if that is the case then shouldn't it be Joan? Since she has a higher probability on almost everything above 6 sales?
Can you not just group the P(DIE ROLL: 1/3 success = {1,2} 2/3 failure = {3,4,5,6}) into a Binomial Distribution?