OMG, I almost cry with the intro message: "If you're watching this video because you're struggling in a class right now I want you to stay positive and keep your head up. If you're watching this it means you've accomplished quite a bit already. You're very smart and talented and you may have just hit a temporary rough patch. I know with the right amount of hard work, practice, and patience you can get through it. I have faith in you. Many people around you have faith in you. So, so should you." 🙏🏽
OK. Here's a level of significance for you. Watching your tutorials are full of more "Ah, ha!" moments than any other stat lessons I've viewed. I guess I can feel 95% confident that, if I view more of them, the more I'll learn. I think that computes!
I am on the cusp of failing statistic and am a "A" student working on my Bachelors degree . Its a god sent I found your tutorials I can now see the light at a very scary dark tunnel🌷
I really hate to say this because I know my teacher try really hard, but I have learned more for the first 13 minutes of your video that I have in 3 weeks of class! The step by step slow going information really helps! Thank you so much for posting this video!
While I'm preparing for my doctoral proficiency exam I have watched many different videos of great lecturers. All of them served me well. However you are the best that I've ever met on youtube to intensify my knowledge about statistics. Thank you very much! By the way, I'll have the exam at the end of this week :)
Hello! Thank you so much for your comment and for sharing these videos with your classmates. Of course your most valuable resource is each other. So my advice is to get together and talk about these ideas. It will really hit home then. Good luck to you all! Best, B.
Couldn't agree with you more about the necessity of the right learning process in place. YOU have provided it. As so elequently stated by someone else below...you have my eternal gratitude! I have already shared your contact info with fellow students. I cannot believe how clear you make this so completely unclear material. Thank you!
Hi! I'm a sophomore in high school and I just wanted to thank you for all you've done to help me! I always look to you when I have trouble understanding a certain concept in stats, I'm so happy I found you on here! I love your videos so much.
Brandon. I am a first year, "mature", statistics student in Dublin, Ireland and have had way too much trouble getting my head around the subject; even after a tutorial. After watching your videos, I'm finding that I am understanding the subject a lot better. The only thing I wish you would do is have a hyper link on each video to proceed to the next/appropriate video that follows.
I am only into this video in the first five minutes I already love it. Why? Because you start off with encouragement and a positive attitude. To me that is 80% of learning! So Thank you, I will be watching again and again!!!
Hello! Factor analysis, cluster analysis, and PCA are something I plan on doing a video on at a later time. Those are well beyond intro stats. Just remember that a factor is merely a linear combination of several individual variables into a composite variable. (A weighted summary score of several variables.) Factor loading is just the correlation between each composite factor and each individual variable.
this topic is so confusing that the moment i pause the video to write it down, i forget everything but thanks to your clear and simplified explanation that i have started to catch on the topic
I am majoring in health care administration and this video was suggested by my instructor. I have a fear of math if it is not the basic adding & subtraction. In the beginning of the video I did not think that I would be able to follow, but as it turned out I was. Thank you for making it simple and I will be viewing more of your videos.
Brandon, I think you are one of the best teachers out there. Your work is stunningly awesome. Because of you I understand type 1 and type 11 errors. Thank you, thank you, thank you!!!
Felix payne Thank you Felix! I have been blessed with amazing teachers who taught me how to learn and to love to learn. Trying to pass it on. Glad you find the videos helpful. Keep on learning my friend! Best, B.
@jessamhan First thank you for your comment, but really people like yourself are my true inspiration. The fact that you are jumping into your new job with both feet and committing yourself to learning and improving after a time away from stats is a lesson for us all. I will be getting to variance in the next week or two and regression after that. Hang in there and give yourself a large pat on the back. All the best, B.
This video was superlative in visual content, explanation, and number of examples. It should be mandatory for all students initiating Hypothesis testing. Great job and thank you.
I am writing my stats exam on Monday and I am going through all your videos, this is going to save my grade and get me a distinction. It is amazing to have such information readily available online! Thank-you so much, and please continue making videos.
It went alright, the lecturer I have ask some pretty tough questions, but all in all I think I did good, the videos were a huge help, I had no idea what I was doing until I came here.
Thank you! I love your fine tutorials! I'm a danish M.D now doing a ph.d. and have been struggling as in STRUGGLING with the statistics, because I find much of the literature very confusing/difficult to read, but after watching this I find it so very easy to understand! Good job! Will share it with my friends ASAP.
Thank you for taking your own time to make these videos for those of us who need stats help. You make it easy to understand. You are GREATLY appreciated!
Perfect video! I think many teachers, especially at research and not teaching institutions, struggle to present and breakdown the information to students like this. Not everyone has the time, resources, and skill to do so either. Thank you for doing this, very appreciative as a graduate student.
Professor Foltz, Thank you so much for these videos!! You have saved me from a serious mental breakdown. I love your approach of teaching! I am a non-traditional student who went back to school 7 years ago and I am now in a graduate program. I am serious and sincere when I say you are amazing!! Please keep it going! Thank You ;0)
Brandon - you are my HERO!!!!! Thank you so SO MUCH. I am a lecturer too (Health and Social Care and Human Biology). Retraining and doing stats for my course and research. I have forgotten so much over the years, and have been so overwhelmed by it all. I love your teaching style and use of easy to relate to examples. You have made this information enjoyable and accessible. I am so grateful I found you on RU-vid - I shall be sharing your details with all my classmates. Thanks. Tasch.
When one defines type I and II errors in a sentence it is hard to understand. Visual representation makes it absolutely easy to understand. Fantastic explanation. Fantastic video. I now understand type I and II errors with 99.9999% confidence. So alpha=0.000001 :-). Why cant we say accept null hypothesis instead of fail to reject null hypothesis?
I get amazed by the amount of effort you put into your videos. And this forces me to increase my usual effort of learning because I have to make notes.
Hello Brandon! I must say you are a god send and wish I had found your videos sooner. I appreciate the fact you do not go thru at lightening speeds like some videos. You take time to explain concepts. My instructor just gives us notes and he does not make sure his students understand the concept given. I appreciate the effort and time you take to make your videos. Thank you again
I can't begin to tell you how much your videos on hypothesis formulation/testing and type I and II errors have helped me in understanding and reviewing concepts that I haven't had any encounters with for 20-25 years. My job has recently changed to include a number of statistical technics on a need-to-be-able-to-explain basis. I hope your future release schedule will include ANOVA and multiple regression. :-) Thank you very much for the effort and time you have put into making the videos.
You have done it again. You explain concepts so well. I checked Amazon, and didn’t see any books that you’ve written. I would have purchased it right then.
Hi Brandon, Thank you for this very easy to understand video! You have a gift with teaching. I am currently studying in a doctoral program at Johns Hopkins and have struggled with statistics. Your videos are amazing! Thank you for being an awesome person - I will be connecting with you on LinkedIn!
Kelly Galanis Thanks so much! Glad you find the channel helpful. And yes thank you for the invitation on LinkedIn. Good luck in your doctoral work. If I can ever be of help please let me know. Best, B.
Hi Brandon- Thanks for all your great videos. I'm moving into Data Science and your statistics videos have made things simple and enjoyable. I'm a subscriber now and wish you all the best.
First od all, thank you very much for your goodness for shareing your knowlage. Your classes are so good and easy to understand. And, i may mistake, but in the video there is part sayin that (alfa*100)% if fancy way of saying 95%, but alfa is 0.05...maybe you mean ((1-alfa)*100)% is 95% ? All the best Brandon, you are so good teacher, and keep doing it! Greeting from Bosnia and Herzegovina!
I have tears of joy! I finally get it. Thank you so much this video made the concept understandable. Keep up the great teaching. I am telling my classmates about your site.
Excellent video Dr. Foltz, really easy-understanding manner to explain this complicated subject. Your videos have been really useful to help me better comprehend statistics. Thanks.
This series is great! I really appreciate everything you present. The one thing that would it better is giving the videos numbers. I am not sure which video comes after this one.
First of all, I'd like to thank you for these amazing videos, that are so helpful tool to understand basic statistic concepts that are made so artificially complicated in text books... Having said that, I would agree with a comment below from Armin Colan, there seem to be a minor mistake in this video (if I understood the content correctly): on approximately 16-th min you said about the area of a nonrejection region of a null hypothesis; shouldn't it be (1-alpha)*100% and (alpha*100) is actually a rejection region?
Thanks Arthur! Greetings from Cincinnati, Ohio. I hope to visit there someday before I go sliding sideways into the grave on fire. And thanks for sharing. The best thing to share with your friends, is YOU so you can learn from each other. All the very best, B.
Love the Series! Are there any problem sets to go with this series? Always 'locks it in' to work problems after reviewing the academic material....Thanks for the truly GREAT job and amazing effort putting all this together!
Hi Brandon, First I want to adulate you on the quality of this video. It's absolutely a class act. I love it. Here is a question: in the One-tail Lower test, H0>=u0. But then you shaded the area lower from somewhere around the 0.05 level upwards. What if xbar falls between this confidence level and the u0, why wouldn't we reject H0 as this is actually lower than u0? Or is it incorrect but with p>0.05?
@Jakes. He did say it correctly. If you'll listen to it again he said that (a x 100)% is a fancy way of saying 95% of the sample mean. it could be 90%, 95% or 99%.
Thank you so so much sir, u really make it so easy to understand! I love this thing about you, that you spend 1st 2 min in encouraging us:) it really gives a positive framework to go ahead and listen to ur full video.. and u have simplified it so well..!! just wanna say.. thank u!
Thank you for explaining how and why these stats work. I am trying to understand statistics in the context of medical research, and these videos are wonderful. Can you make more playlists that put the videos in order? I want to follow your videos through each concept; the play lists are a big help! Could you make a video (or videos) that review each of the major topics? I'd love to see a video or a few that review basic concepts from the beginning, so I can see how they all fit together -- beginning from descriptive stats (mean, median, standard deviation) going through to z, t, f, anova/chi squared. I've seen all your wonderful lectures, I'd love a review that puts it together. You're doing so much already, however, so take this as a complement! Thanks so much!!!
Dear Brandon, Thx alot for your helpful videos. There is one thing that is still difficult to wrap my hand around. As far as I understand, the confidence interval is the probability of obtaining a sample mean within a certain region around the true population mean. But it is also the probability of obtaining a sample mean within this region around the assumed population mean? How does the confidence interval as calculated from the sample variance and mean allow us to connect the assumed population mean to the true population mean? For example, if the sample mean falls in bewteen both of these means and also in the CI of the assumed population mean, we would not reject the null hypothesis, although the true population mean is actually on the other side of the sample mean. Thanks!
Hey Dave! I do have some Markov chain videos (just search Markov on my channel home page). I am not sure when I may get back to Markov / Bayesian topics since I am focusing on traditional stats at the moment. Best, B.
Hi Brandon, I have a question. Does it make sense to show the x1 (bars), x2 (bars) etc., like a point instead of a line or a spread ? Actually when you take a sample and compute its mean it is after all going to be a single number. Please let me know your thoughts
