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. :)
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
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.
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.
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
Love the way you derived Binomial equation without using any algebra. It is very intelligent and builds intuition for practical application of the concept.
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
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.
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.
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!
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.
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!!
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!"
Thank you for your comment. Each selection of 5 items is a discrete event. This is literally, 'walk over to the machine and take the next 5 items.' At 17:53 I point out that n=5 is the number of trials; each individual item selection is a binomial trial; success or failure. No matter how many times this 5-item selection is repeated, the probability of an outcome never changes, in the same way a coin flip never changes. Doing the selection once is the same as doing it 100 times.
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
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!
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
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.
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!
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
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!
Very good video. It gave me a very good concept about binomial distribution. Just small thing for improvement, maybe 12:31 you could put A, B, C, D, E in the table in the left column instead of outcome.
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!!
Brandon I really would like to write under each of your videos a big, big THANK YOU - but that would perhaps come out like a little bit "stalky" I fear. :) But really your videos are so helpful in any case - and your voice is so pleasent and sounds really enganged in what you explain and THAT helps very much to stay interested and alert/interested. I whish I´d had the chance to watch your videos when I startet with statistics... But it is never too late, isn´t it?
A trial is each individual item, not the selection of 5 as a whole. A trial is the success/failure of each individual item. So if I flipped a coin seven times, n=7 or 7 trials. In that case the probability of 3 heads would be: C(7,3) x .5^3 x .5^4.
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!
Great tutorial! Very well explained. Can you please clarify this for me. What would be the probability that both Joan and Margo together have 6 success in a day?
Thank you very much Brandon Foltz... I have a question. Hope you'll help me with that 6 coins are tossed 512 times. Find the expected frequencies of heads.. Also, compute the mean and SD of the number of heads..
Thanks so much Brandon for such an illustrative video. I really like the way you explain things. In the second example, the probability of 6 salesfor Margo is still higher than Joan even if Margo only makes 10 calls instead of 16 calls. If Margo makes 10 calls the probability of 6 sales 15.97 which is higher than Joan's 14.60%. Joan outperforms Margo from 7 sales. Therefore, in this case how is it relevant?
Hi Brandon, thanks for the videos, very helpful! For the salesperson problem, is there a faster way to answer the problem of the probability of AT LEAST 6 successes (instead of doing 6-10 for Joan and 6-16 for Margo individually and then adding up the probabilities of each)? If this is answered in another video can you let me know which one? Thanks!
I missed my stats class this week due to illness and was told I needed to figure out the material for my test, which is tomorrow. My textbook is garbage and just confused me more. Your videos have been a HUGE help. I know this is super old but I have a question and am super hopeful you could help. I'm not understanding how you calculate the C(10,6) or C(16,6)
The positivity that the video starts out with is so refreshing and very much needed. 💛
hye Angee. I have just posted a video on Binomial Distributions as well. I hope it will be helpful.
I know. It makes me really motivated
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. :)
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
hye Juan, I have just posted a video on Binomial Distributions as well. I hope it will be helpful.
The way you explained binomial distribution is priceless. Never knew the idea behind the equation before watching this video.
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
minute 1:00 - the most inspirational math video ive ever seen!
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.
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.
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
Love the way you derived Binomial equation without using any algebra. It is very intelligent and builds intuition for practical application of the concept.
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
Thank you! The positive energy at the end brought me to tears. I really needed to hear that.
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.
This video provides a very good intuitive understanding of the reason behind the formula
I am beginning to understand discrete probability and binomial distribution. Thank you very much for this class.
such an encouraging person, he should b a mentor
U are blessed in ur profession...The clarity with which you take us through is just amazing. God Bless You Brandon !!!
I cannot thank you enough for the thorough explanation! I'm struggling in Stats badly and this really helped clear the fog!!
Saw this on Google...sure be nice when this class I'd behind you. Xxmom
Thank you Brandon. Very clear explanation makes it easy to understand. God bless.
You're a wonderful teacher! Thank you sir
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
Thank you for making this video. It has moved mountains for me.
Awesome! Thank you so much. People like you make the internet a better place.
My exam score thanks you as well.
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.
Best explanation on youtube
... You are very good at teaching complex concepts.
After 10 years of first studying this thing today is the day it clicked. You sir are a god
All the work you did before led you to that moment. Kudos to you for the perseverance to keep going!
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!
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.
thank you so so much for the free course, help me a looot with my career change!
Thank you for the positive encouragement....was thinking of quitting.....now I'm going to keep trying....
Thanks for the uplifting words of wisdom at the beginning of your video!
Brandon you explain so well and I love your positive and encouraging attitude. You're wonderful. Keep up the great work!!!!
foltz..just amazing.................very very thanx.........you helping us..........god will help u,,,,,
All your videos are amazing. I learned statistics watching your videos. thank you much Brandon
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!!
This is amazing work you put out here. Can't point on anything I would change. Clear sound, great graphics and a nice tempo.
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!"
Haha! Thank you! I am glad you found the video helpful. All the very best, B.
Simple and easy! Thanks for doing this video👍
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!
It couldn’t be more understandable, thanks a lot!
I love your motivation speech and the quotes before your lectures @ Brandon sir.
Thank you for your comment. Each selection of 5 items is a discrete event. This is literally, 'walk over to the machine and take the next 5 items.' At 17:53 I point out that n=5 is the number of trials; each individual item selection is a binomial trial; success or failure. No matter how many times this 5-item selection is repeated, the probability of an outcome never changes, in the same way a coin flip never changes. Doing the selection once is the same as doing it 100 times.
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
Very very very very very (etc..) helpful video .
thank you Brandon :) .
+OII8II Thanks! You are very very very very welcome! :)
+Brandon Foltz you can get notifications of the new video by clicking the gear icon lying near the subscribe video and hence subscribing it.
+Brandon Foltz please, please install skip intro button.
the clearest educational presentation I've seen, you must have studied under Steve Jobs!
Great message and examples. Thank you.
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
Very Helpful Brandon! Thank you for making!
Brandon, that was awesome. It made the subject much clearer for me. Thanks!
I found this presentation very useful.
Thanks for all your help. Please keep rocking!!
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!
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
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.
This is what I was thinking, too.
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!
GURU you are awesome...I tried a helll to learn but you made my life easy....
Excellent, nicely explained. Thank you
This is very educative. Thanks for this video
Thank you for making these videos and your kind words!
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
Brandon !!! That was really helpful.. You made it really simple !! Awesome !!
Mateen Ahmed Awesome! Glad you found it helpful. Keep on learning!
Love your videos. So awesome. Been out of school for such a long time that these are amazing refresher courses.
Thanks for the great material, I really like your encouraging comments at the beginning of your videos, they're very kind. Greetings from Mexico!
So much better than my teacher!
You are a good teacher. Congratulations!
Thank you so much, your videos really help me understand subject matters that initially look impossible to me
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!
Thank you so much for taking the time and explaining the concepts. Def an inspirational video and way of teaching!
you are an amazing teacher
Very good video. It gave me a very good concept about binomial distribution. Just small thing for improvement, maybe 12:31 you could put A, B, C, D, E in the table in the left column instead of outcome.
Great again. Your more fun than the book! Again, thank you and keep making videos.
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!!
Another very nicely done explanation! Thank you
Love love love! Thank you so much for creating this video!
Thank you very much. Great teaching!! very clear steps and it helps me to understand better.
Thanks for the brilliant explanation!
Brandon I really would like to write under each of your videos a big, big THANK YOU - but that would perhaps come out like a little bit "stalky" I fear. :) But really your videos are so helpful in any case - and your voice is so pleasent and sounds really enganged in what you explain and THAT helps very much to stay interested and alert/interested. I whish I´d had the chance to watch your videos when I startet with statistics... But it is never too late, isn´t it?
A trial is each individual item, not the selection of 5 as a whole. A trial is the success/failure of each individual item. So if I flipped a coin seven times, n=7 or 7 trials. In that case the probability of 3 heads would be: C(7,3) x .5^3 x .5^4.
Excellent explanation.
Thank you for this video. Very helpful in my Statistics course!
Excellent explanation !!!
Very simple and sweet.
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!
Great tutorial! Very well explained. Can you please clarify this for me. What would be the probability that both Joan and Margo together have 6 success in a day?
Excellent. A wonderful explanation. Keep up the good work sir. God Bless you.
Thank you for your effort and positivity!
Thanks for clear explanation of the concept.
31:46 (1-55)=.45 - is there a typo? i think should be (1-.45) so .55 is correct
Mr. Brandon Foltz, thank you very much kind sir..
Thank you Brandon. A wonderful explanation.
oldeubank You very welcome! Thank you for watching.
Thank you Brandon!!! I am learning this for my AI cognitive project and I hope this helps me a lot in my career!!!
Hello! Where at in the video? I checked at 26:36 and those do add up to 1.
Great lesson. Many thanks.
Thank you very much Brandon Foltz... I have a question. Hope you'll help me with that
6 coins are tossed 512 times. Find the expected frequencies of heads.. Also, compute the mean and SD of the number of heads..
Thanks so much Brandon for such an illustrative video. I really like the way you explain things. In the second example, the probability of 6 salesfor Margo is still higher than Joan even if Margo only makes 10 calls instead of 16 calls.
If Margo makes 10 calls the probability of 6 sales 15.97 which is higher than Joan's 14.60%. Joan outperforms Margo from 7 sales. Therefore, in this case how is it relevant?
This is really counter intuitive !!. Thanks. This is an amazing explanation.
Hi Brandon, thanks for the videos, very helpful! For the salesperson problem, is there a faster way to answer the problem of the probability of AT LEAST 6 successes (instead of doing 6-10 for Joan and 6-16 for Margo individually and then adding up the probabilities of each)? If this is answered in another video can you let me know which one? Thanks!
Please keep making these videos!
Great teaching...
I missed my stats class this week due to illness and was told I needed to figure out the material for my test, which is tomorrow. My textbook is garbage and just confused me more. Your videos have been a HUGE help.
I know this is super old but I have a question and am super hopeful you could help. I'm not understanding how you calculate the C(10,6) or C(16,6)