Statistics 101: The Binomial Distribution

[@angeepogosian934]

The positivity that the video starts out with is so refreshing and very much needed. 💛

[@ishamathstea9019]

hye Angee. I have just posted a video on Binomial Distributions as well. I hope it will be helpful.

[@arunkenta]

I know. It makes me really motivated

[@babydsmama]

I'm typically a positive "I can do it" person, but statistics has become the class I wish I never had to take. The break through's are great when they come but I've fallen about a week and a half behind in understanding... almost 2 chapters and the break through's are not coming enough. It's like looking for something specific in a crowded dark room as someone else is trying to shove more stuff in the room. God help me!!! Your videos are helping a little though. :)

[@motas92]

Hey Brandon I great to be back you helped me a lot when I first did my certifications in Six sigma around 5 years ago and now again during my master studies, can't thank you enough for your great lessons hope you are thriving! Cheers

[@ishamathstea9019]

hye Juan, I have just posted a video on Binomial Distributions as well. I hope it will be helpful.

[@ajithajayan5862]

The way you explained binomial distribution is priceless. Never knew the idea behind the equation before watching this video.

[@aalbarrak]

I'm MBA student, and I found this video is very helpful coz I'm using it as a base to understand Quantitative analysis. Thanks a lot

[@abat5991]

I have watched many of your videos and found them extremely good. Your are a talented teacher who understands well his material and understands the needs of the followers. I have only one wish: using examples that belong more to real life situations. I am a physician and an epidemiologist, so I prefer some examples related to health. Thank you so much

[@zhenminliu]

This video is very clearly presented. I am a statistician by training, learning the subject in university 50 years ago. Through Foltz's videos I am getting new understanding of what I learned half a century ago. A bit late but still lots of fun.

[@Renee11123]

Thank you so much! Probability and Statistics is new to me and most of the time I could not "see" why we had to do each of the calculations. You made this so much easier for me to understand the why to the point I can finally do the calculations.

[@mswastik]

Love the way you derived Binomial equation without using any algebra. It is very intelligent and builds intuition for practical application of the concept.

[@jazzychick8]

My teacher cant seem to teach our class this over the course of a few days, but this man manages to do it in one sitting! Genius! I'm definitely subscribing! :D

[@rachel_ellingson]

minute 1:00 - the most inspirational math video ive ever seen!

[@fla-t3j]

Everyone can teach, but you are a born teacher. You are teaching as a V experienced professor who knows how to demystify problems that were first seen as cumbersome. Your skill is of no match.

[@kalebmckissick5056]

Thank you! The positive energy at the end brought me to tears. I really needed to hear that.

[@lardyguts2]

the person who gave this a thumbs down really dose not want to have my stats teacher. he will learn how good these videos are compared to most stats tutors

[@Azureandfabricmastery]

Thank you Brandon. Very clear explanation makes it easy to understand. God bless.

[@bunkoti]

This video provides a very good intuitive understanding of the reason behind the formula

[@BrookeOnMM2]

This is a great video for teaching Binomial Distribution. I wish I found it sooner. I did appreciate your intro comment about feeling overwhelmed, because I was. THANK YOU. Just one tid bit of info, at the 31:27 point in your video I saw one typo in the probability formula. You typed in .55 for Margo in the (1-p)n-x part of the formula, instead of .45. The math you did was from the correct value. Just wanted to let you know in case anyone else got a little confused.

[@farmarcos]

I am beginning to understand discrete probability and binomial distribution. Thank you very much for this class.

[@rayez6565]

You're a wonderful teacher! Thank you sir

[@anrm6]

After 10 years of first studying this thing today is the day it clicked. You sir are a god

[@BrandonFoltz]

All the work you did before led you to that moment. Kudos to you for the perseverance to keep going!

[@shivsharma9153]

Hi Brandon my GURU, Thank you for making topics so simple and thorough. You are great at teaching. Thank you for putting so much efforts for us

[@jdubrey1527]

I cannot thank you enough for the thorough explanation! I'm struggling in Stats badly and this really helped clear the fog!!

[@debrahendriks4098]

Saw this on Google...sure be nice when this class I'd behind you. Xxmom

[@1Dispretty2me]

such an encouraging person, he should b a mentor

[@Surya42930]

U are blessed in ur profession...The clarity with which you take us through is just amazing. God Bless You Brandon !!!

[@sterlingnk]

Awesome! Thank you so much. People like you make the internet a better place. My exam score thanks you as well.

[@spencerprice1676]

Thanks for the uplifting words of wisdom at the beginning of your video!

[@kaidiminlu]

thank you so so much for the free course, help me a looot with my career change!

[@bloodandroses06]

Thank you for making this video. It has moved mountains for me.

[@felixmildon690]

I used to think it was sad that youtube videos did a better job at teaching me math, but I'm starting to realize its actually a very good thing

[@aimeedumayne5341]

Thank you for your videos. I will be watching every single one. Was getting confused with "success and failure" and your video on Binomial distribution really help me clear up the confusion.

[@bernadetteabraham3261]

Thank you for the positive encouragement....was thinking of quitting.....now I'm going to keep trying....

[@rangakrs]

Excellent videos! For the sales problem (Joan vs. Margo) you make the argument of number of trials vs success rate. That is is true. In this example through the expected sales for Joan is .75*10 = 7.5 and for Margo it is .45*16 it is 7.2. Therefore we could conclude Joan is still a better salesperson. If you focus on the example of 6 it may move the reader to the conclusion Margo is a better sales person. If she did 17 calls then she goes ahead!

[@rezat.ashtiani1338]

It couldn’t be more understandable, thanks a lot!

[@skittlesmites7800]

You are an exceptional mind my friend. You even helped me clear up some basic, elementary math concepts. Thank you so much for decomposing this problem the way you did. I swear somewhere from minute 20 to 25 I was saying, "Ohhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh!"

[@BrandonFoltz]

Haha! Thank you! I am glad you found the video helpful. All the very best, B.

[@michalkoenner]

A truly great video! This was my very first time being exposed to the topic and everything was as crystal clear as it could be, huge thanks!

[@trustbroken7115]

Simple and easy! Thanks for doing this video👍

[@skaai]

the clearest educational presentation I've seen, you must have studied under Steve Jobs!

[@IvCastilla]

... You are very good at teaching complex concepts.

[@snehashishpaul2740]

I love your motivation speech and the quotes before your lectures @ Brandon sir.

[@waynegreaves9070]

Brandon, I very much enjoy your tutorials. I completed the Six Sigma training in which there is a great deal of probability and to be able to have your tutorials has been very much helpful. Thank you very much for taking the time to share your knowledge!! Please keep doing what you are doing!!

[@georgesmith3022]

Best explanation on youtube

[@spirosfortis4394]

All your videos are amazing. I learned statistics watching your videos. thank you much Brandon

[@racerx1326]

Brandon you explain so well and I love your positive and encouraging attitude. You're wonderful. Keep up the great work!!!!

[@agf6446]

Thank you for making these videos and your kind words!

[@Quijanos1]

Great message and examples. Thank you.

[@RavindraKumark]

Thanks for all your help. Please keep rocking!!

[@kris12326]

Very Helpful Brandon! Thank you for making!

[@HareshPala]

foltz..just amazing.................very very thanx.........you helping us..........god will help u,,,,,

[@OII8II]

Very very very very very (etc..) helpful video . thank you Brandon :) .

[@BrandonFoltz]

+OII8II Thanks! You are very very very very welcome! :)

[@harshalshinde227]

+Brandon Foltz you can get notifications of the new video by clicking the gear icon lying near the subscribe video and hence subscribing it.

[@harshalshinde227]

+Brandon Foltz please, please install skip intro button.

[@alesi257]

Thank you so much for this and other videos. One comment: Unlike what's stated at 32:00, I think Margo's higher prob. for 6 sales a day is NOT because she's making more calls. It's actually because Joan is more productive than Margo and so has a higher prob. of making 7 or 8 sales (in her 10 calls), while Margo has a higher prob. of making only 5 or 6 sales (in her 16 calls). In other words, because Joan is more productive, she will less likely make only 6 sales and more likely 7 or 8 than Margo.

[@lonemaven]

This is what I was thinking, too.

[@TheSuper1887]

This is amazing work you put out here. Can't point on anything I would change. Clear sound, great graphics and a nice tempo.

[@betlow9497]

Thank you very much. Great teaching!! very clear steps and it helps me to understand better.

[@GwendolynDemby]

Thank you so much for this explanation, I just had a light bulb moment for sure! You're AWESOME!!!!!!!!! I feel like I can pass my Statistics class with an A. Will keep you posted!

[@danielnewcome9381]

Brandon, that was awesome. It made the subject much clearer for me. Thanks!

[@DhyaanCBharadwaj]

GURU you are awesome...I tried a helll to learn but you made my life easy....

[@nilothpalbhattacharya8230]

Excellent, nicely explained. Thank you

[@arianabebe62]

Thank you so much for taking the time and explaining the concepts. Def an inspirational video and way of teaching!

[@onyn3555]

Thank you so much, your videos really help me understand subject matters that initially look impossible to me

[@isac0014]

Love your videos. So awesome. Been out of school for such a long time that these are amazing refresher courses.

[@Shebly30]

Great again. Your more fun than the book! Again, thank you and keep making videos.

[@sandhyasrini_]

Thank you Brandon!!! I am learning this for my AI cognitive project and I hope this helps me a lot in my career!!!

[@EngrMateen]

Brandon !!! That was really helpful.. You made it really simple !! Awesome !!

[@BrandonFoltz]

Mateen Ahmed Awesome! Glad you found it helpful. Keep on learning!

[@zatizsumkoolshyte]

you are an amazing teacher

[@MaribelLopez-zg2yr]

Hi Brandon, you make understanding stats fun. Love the words of encouragement, I sense the sincerity. Please keep doing what you're doing, don't change a thing. Thanks!!

[@jgarciajr6862]

Thank you for this video. Very helpful in my Statistics course!

[@deborahfranza2925]

Love love love! Thank you so much for creating this video!

[@adewolekayode6148]

This is very educative. Thanks for this video

[@johnbarker2677]

I found this presentation very useful.

[@wh33l6r]

Lastly, as to the confusion about your labeling, at slide 18:53, the defect rate of .2 as "p" then saying that the assumption that the PROBABILITY of success is .2 is wrong is cleared up, for me at any rate, at slide 25:21 where you clarify the situation by labeling the first instance of .2 as the "error (garbled) defect rate" as opposed to the "probability" of .2. Maybe as earlier semantic distinction between "defect rate" vs. "probability" might have helped me (at any rate). That assumes, of course, that help is possible (forget probable!) ;-) Thanks again!

[@nandiniagarwal9040]

Thanks for the brilliant explanation!

[@rafaelaprende]

You are a good teacher. Congratulations!

[@rur13223]

Another very nicely done explanation! Thank you

[@BrandonFoltz]

Ha! Oh thank you so much. :) I must admit...I am an Android man...but hold Mr. Jobs in high regard. I was just blessed with awesome teachers my whole life. Thank you for watching and keep on learning; never stop. - B

[@jadmerhi4462]

Thank you for your effort and positivity!

[@Julyafterjune]

Mr. Brandon Foltz, thank you very much kind sir..

[@annenglish9171]

Thank you so very much! You explain things clear and simple, which is needed with a subject like statistics. Thanks too for the motivational tidbits at the beginning and end. :) Please keep making videos for confused students like myself!

[@oldeubank]

Thank you Brandon. A wonderful explanation.

[@BrandonFoltz]

oldeubank You very welcome! Thank you for watching.

[@decipheringthematrix56]

Thanks for the great material, I really like your encouraging comments at the beginning of your videos, they're very kind. Greetings from Mexico!

[@andreastuhafenisalom6596]

Very simple and sweet.

[@scottburns445]

So much better than my teacher!

[@carloscarvalho9025]

Great Video. Thank you very much Brandon You are doing a great job. Rgds

[@Haneen241]

This was really helpful! Thank you, I love the encouragement at the beginning and I would like if you put exercises for us to practice at the end, and if you do that please mention the answer because I'm having trouble finding questions that have answers, to practice on. :D

[@OyinkansolaOmorodion]

Thanks a lot for your time. God bless u

[@henrytnh1]

Great lesson. Many thanks.

[@wh33l6r]

Oh, one other point of confusion - I confuse very easily! At the slide at 18:53 you say that the probability of success (choosing a defective product) appears (to the statistically uninitiated) to be 20% (or .2) which you say is wrong. Then at the slide at 19:47 you assert that, in fact, the probability of success (selecting a defective product) is, in fact, .2. ??? What am I missing here? Otherwise, your deliberateness and care in your choice of words and detail in explanations are terrific! Thanks for your work!

[@harshadrathod8782]

This is really counter intuitive !!. Thanks. This is an amazing explanation.

[@19amin80]

u r great teacher thank you for this video

[@MuhammadAamir-kr6tv]

Excellent. A wonderful explanation. Keep up the good work sir. God Bless you.

[@amitdhiman6567]

Thank you so much! Great, informative video. ❤️

[@elnurshabanov1608]

Excellent explanation !!!

[@suleimanhudu3414]

it is really helpful. i would suggest if you could assign order to series of your videos. thanks

[@BrandonFoltz]

Hello! Where at in the video? I checked at 26:36 and those do add up to 1.

[@oceanbeing]

Excellent explanation.

[@AJ-et3vf]

Great video sir! Thank you!

[@arnolddelacruz7822]

Thanks for this great video. do you have a video that tackles PMF - Probability Mass Function?

[@peterpanmiamiheat]

you helped me within the first two minutes

[@jordsv]

Dear Brandon, two minor comments. On 31:35, the parenthesis should be (1-.45) instead of (1-.55). And I did the calculations twice and I got 0.162 instead of 0.168.

[@romanvasiura6705]

Thank you! It's really nice lecture. I opened a lot of new information)

[@kings3521]

I really appreciate your effort. Thanks

[@ddigwell]

Please keep making these videos!