I don't know how do RU-vidrs get revenue from these ads work but I make sure to watch each and every ad completely as a token of appreciation for the wonderful work Brandon is doing for all of us.
Thanks! I appreciate that. The advertiser only pays RU-vid if certain amount of the ad is watched or it is clicked on. Then that revenue is split with the creator. It's what makes this all possible.
@@BrandonFoltz Sir the teaching being offered by you is simply unmatachable . I can undoutedbly say this channel is one of the best among statistical concepts .
Dear Brandon, Thank you very much for explaining this tricky concept with beautiful examples. Kudos to you. I really appreciate your generosity for making this video publicly available. regards, bhupathi
In my opinion, for basic/practical stats. this lecture series is one of the best on the internet. Thoughtful, and comprehensive, with complete mastery of the subject. Command without condescension. Thanks B.F.!!
I'm working on my doctorate in public health and needed a review of the null and alternative hypothesis. You have made my advanced biostats class much easier. This video saved the day!!!!! Thank you so much Brandon and please continue making videos!!!!!!! Excellent video!
Thank you so much for these videos. I am in the 3rd week of a 6 week PSYCH3002 class. These videos, in under an hour, helped me understand more material than days and hours of reading textbooks and words of my instructor as well. These videos gave me some hope at a time when I really need some hope!
Thank you so much for these videos. I am taking this class online in 4 weeks. Simply reading out of a book and attending a one hour lecture every week is not enough. These videos are making it feel like I am in a classroom. :)
thank you for teaching Null and Alt Hypo so relevant for me to understand as i am not a very 'mathematical' person and after reading so many textbooks and lecture notes, finally your site made sense and i am so grateful. Please continue to help teach as i am not not so scared anymore for the coming exam. God Bless you! (Penang, Malaysia)
I'm an applied learner when it comes to numbers but I still love them! Online grad learning doing my first inferential statistics class has been a challenge. I have to know WHY and HOW for it to sink in. Your explanations are exceptional in providing another point of view at learning. So many professors say..."well, this is what you read...there you go." honestly, without spelling it out in leyman's terms...it's quite difficult. You provide that bridge between the book and my brain. Thank you. I'll be following the other videos as well.
And you know what the funniest part about the first video on this subject was? That at the moment I found that video I was frustrated and you started talking about how we should be patient, can't remember the exact words you said but omg! You are by far the BEST teacher here and anywhere else on earth! You made me feel A LOT BETTER with your words! Thank you so much!!!! And now I have to get back to the continuation with this video! I am getting it now!! :)
Yes. In a One-Way ANOVA context, the null hypothesis states that all the group/column/treatment means are equal as you indicated. You are correct! :) - B
11 лет назад
This video finally cleared my doubts regarding how to state the null and the alternative hypotheses. This has always been a bit of a mystery to me and your video has made it very clear. I have to say that your videos are very good and I keep coming back to them to see what's next. Keep up your excellent work!
Thanks!! This is very helpful. Taking statistics online for BSN bridge course for nursing and this class is 5 weeks. Truly appreciate your help and kind words of encouragement. ;-)
Hello Salah! First thing to remember: the equal sign always goes with the null hypothesis H0. Second thing: hypothesis tests are not really about predictions. Either the null is supported (fail to reject) or it is not supported (reject). From what you wrote, it appears your null would be H0: greater than or equal to ___ and alternative H1 less than __. . If the test returns equal to or greater than, then you would fail to reject (support) the null H0.
you really have done a great job, the content is elaborated so smooth , yet it would be so helpful to refer in the end of your each video to the next video title , in order to draw a road map to who ever wants to know what is the right way of doing something.
Excellent teaching style. The double negative ("fail to reject" the null) is challenging because you are taught to be unambiguous when writing business requirements statements which includes removing double negatives. This is particularly important to people where English isn't their first language as it is a tough concept to grasp so over time you do learn to shy from ever using them and now, we are using them. Grrrrrr :-)
How I wish that every professor/teacher be as encouraging and clear as you, while describing a topic.. I am out of statistics for a long time and have taken recent interest in it while being a working professional. Your videos are so crisp and easy to grasp. Thanks Brandon for making such good videos on statistics. :-)
Thank GOODNESS for theses videos. I was struggling so much, super super super helpful. You're not speedy unlike most professors/ teachers which is wonderful.
Thank you Brandon, I AM smart and talented, but was seriously starting to doubt it, during the past 5 weeks of stats study! Your teaching style is fabulous and you make the concepts so easy to understand. I do hope lecturers watch your videos as part of their ongoing personal learning and commitment to being a better teacher. I especially like that you use $50 words rather than $5,000 words ... A sign of a true teacher rather than an educator. I am of the firm belief that the vast majority of students only fail because their teacher has failed to teach well. Since watching your videos I have a stronger belief that I will be passing. Thank you again Best wishes Shelley
Oh thank you so much! Hang in there, you can do it. Just stay vigilant and believe in yourself. Not sure where you are in thr world, but don't stay up TOO late. :) All the best, B.
Thank you, Brandon! Your videos must be some of the clearest on the subject. It is not easy to get your head around H0 and Ha ,for beginners in the field that is, and you manage to make it clear and easy to follow. Very helpful!!
OMG I would click "like" hundreds times if I could! You're so good at explaining on the subject I was struggling to grip. Thank you so much!! I'm glad I found your video before the quiz. I'm going to review all your videos tonight~ Thanks and God bless you!
Excellent video. I really struggle with basic statistics but this has helped me tremendously. The explanations are easy to understand, and what I really like is the fact that Brandon does not assume previous knowledge of the topic, and therefore explains al the concepts in depth.
Thank you for the video, it helped me understand the topic! I really appreciate that you take the subject to a human level. This really helps us students to learn it from the beginning!
Thank you so much for posting this. i have been struggling with this for 2 weeks now and couldn't understand neither the book nor the professor ;( but you made it so clear. again thank you so much!!!
Hello and thank you for the message. I was not planning on doing any more time-series videos for a while. Unfortunately I have my hands full doing all my current videos which take a lot of time. Let me look into / review autocorrelation and things of that nature. But I cannot make any promises. All the best, B.
Thank you Brandon, I really appreciate your explanations and videos. They really help with understanding the difference between the two hypotheses. Do you have any videos on p-values?
Thank you for information that you provided at second video and all clear examples. I could understand them easily. I still need to read more and more to understand this basic hypothesis in order to apply them for my thesis
I have got a clear picture about the null and alternative hypothesis, Thank you Brandon for your Great lesson. I was struggled a lot to understand hypothesis before watching your sessions
Unreal. I have been struggling with this for 5 weeks, and here you go, explaining it to me within an hour. I guess it's true about what Einstein said when he said that if you can't explain something simply, then you don't understand it. Says a lot about teachers these days. Thank you for this. Thumbs up, and subscribed. You are my new best friend, lol.
Thank you so much for your videos, the way you explain things is so clear and not-at-all-terrifying. But even more importantly, thank you for your kind words of encouragement. I needed them so much today, and you made me calm down enough to actually absorb what you were saying rather than pull out the usual mental block.
In an age where virtually everything is exchanged for money, producing these videos and sharing your knowledge for free is indeed beyond being NOBLE. I hope all the fellow students who have showered you with praise in the comments will keep this in mind when they are successful in their future endeavors.
I will be sharing your videos with all of my colleagues! And I always listen to the end to hear the uplifting words! They are like water in the desert! Lisa
Please correct me if i'm wrong in the way i'm thinking about this problem. The average attendance is already given to be 74k . So we take it as an assumption and put it straight in the null hypothesis.H0>=74k As the analyst wants to test if the the attendance has decreased we form our null hypothesis as H1
I loved this video! I have a question regarding example 3. I assumed the null hypothesis would be, Ho = 74,961. how were we supposed to know that Ho was greater than or equal to 74,961? What am I supposed to be looking for in the question to indicate the difference?
liz smart because the claim is that it has decreased, that is, the alternative hypothesis. Therefore, the null hypothesis must be the opposite and contain an equal sign. Thus the null is greater than or equal to.
Nice and clear explanation. 1 point does not come to me intuitively though: when testing that farm area has increased/attendance has decreased, it seems more natural to find data that would support your hypothesis. Thus if I were to do this informally, I would compare the means of farm sizes now to farm sizes in the past and see if there was an increase. If so, I can infer that farm sizes have probably increased. With attendance, I would look at the mean attendance now and see if it is lower than previous means. It seems somewhat odd to have your assumption be the opposite of what you'd predict (i.e. that farm size has not changed), only to collect data so that you can reject this assumption. Why would I not directly have my null as my prediction (i.e. that farm sizes have increased), then collect data that allows me to not reject the null? This seems less roundabout. Thanks!
LOL , My lecturer does not speak English properly . She is not a native speaker and i have to take the course in English . Thanks for helping us . you are a legend :)
Hi Brandon Thank you for this video. Really a great work. It gave me a lot of clarity regarding hypothesis. However in examples 2 and 3 I felt that it would be easier to formulate the alternate hypothesis first and then formulate null based on the alternate hypothesis. Would it be a correct strategy or would it cause any problems?
Thank you thank you thank you for making these videos! Please keep making them, it is the only way I am getting through my stats class. ...and thank you for the message of positivity, it helps to hear it =)
Hello Mr. Foltz, I thank you very much for the help you are giving to beginners like myself. This can be overwhelming at times, I really hope you can help me with this. My problem is I am having a hard time knowing which test to use for my research. My alternative hypothesis states, is there a difference between the motivation for parents signing their child up to participate in AAU sports and the motivation for their child to participate AAU sports? My null would be there is no difference between the motivation for parents signing their kids up to participate in AAU sports and the motivation for their child to participate in AAU sports. I conducted an 11 question survey from which I have 100 responses from parents and 100 responses from the kids, but I am having a problem of knowing which test to use to see if there a significance difference. Do I use the two sample t test or Z test, because of the two population I am trying to find the difference between. I have all my data from the surveys but I am still clueless of how to proceed. I apologize for the lengthy comment but I am really stuck. Thanks in advance for your reply.
I appreciate your time Sir. That would direct me to another thought, if you don't mind. If the main effect for B and the interaction effect are Zero, then the structural model for factorial Anova would be equivalent to the structural model for a one-way Anova, too. Am I right? Or they would not be equal. !!!
thanx for correspond me and i wish if you have any advise ,site or book that can help me to understand the time-series please tell me thanx again ...my best wishes
