RECKANOWHERE I'm glad I'm not the only person who felt this way! As Einstein once said " If you can't explain it simply, you don't understand it well enough. I'm seen many videos about ANOVA's and they were ok at best. This video is excellent! Very impressed
I have a video tutorial about One-Factor ANOVA. If you like, you can check it on my channel.ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-frpZgjVTeVc.html
After taking many stats courses this is probably the best video I have seen to understand the concepts. Its a shame that our teachers get so lost in formulas and the "old way" of doing things. Thanks for breaking it down simply so if people want to know more they have an idea of the basic concept.
Yes. People are often following rules too strictly. When you are teaching basics, you can even cut corners and make false claims, if that makes the basic consept easier to understand. When that is achieved, you can start teaching details. If you try to use correct terms and mathematical symbols all the time, it just makes things much harder to understand for no reason.
Brilliantly explained! This 4+ minute video was more effective for me, in terms of understanding what exactly ANOVA is and its function, than my entire semester. Thanks!
J David Eisenberg Hello sir, I am having airborne dust concentrations data as PM10, PM2.5, PM 1 . These data was taken before and during dust producing work in a civil construction site. N=5 How can i compare these before and during operations data ? It seems that there is percent variation in dust concentrations in atmosphere between before and during operation data based on particle size. Before operation: PM 10 ( particle size less than 10 microns) is sharing 40% of total airborne dust, and PM 2.5 ( particle size less than 2. 5 micron) shares 10% of total airborne dust. During machine operation: PM 10 shares 60% and PM 2.5 10% only. It seems that PM 10 share is increased due to that machine operation? Which test is suitable for analysing these type similar data for discussion ? How to use statistics? Any comparison among these particle sizes? thank u.
You are an outstanding teacher. Not just mindlessly going through the steps but making connections in a logical way. Thank you so much for this video!!
David, I teach stats at grad and pos-grad in the UK and your video is the best explanation I have come across for ANOVA. I couldnt do it better. I will be using your video in my online course at Liverpool John Moores University, UK. It would be great to have your slides but I expect that might be too much to ask. Thank you for this wonderful video
This is a fantastic explaination! I have been struggling to comprehend the essence of this method until I watched this excellent work. I actually just passed midway and had to pause the video to make my first RU-vid comment this year. Well done!
dont know if anyone will be reading this but, this video, for my exams when I didnt know a thing about anova, was a lifesaver. thanks for posting LOTS OF LOVE FROM NEPAL :)
Omgggg I can’t thank you enough for this video😭thankyou soo much☺️☺️ The examples in the video were soo much more beneficial than the 20+ mins videos that I’ve watched😭☺️💜💜
1:40 if you're confused about the caption being opposite to what is said then make sure to see that it's not "can reject" but it's "can't reject" which is same as "accept" as said in the audio
Hi David, Great video. Your intuition is correct...if there are only two groups, an ANOVA will give the same result as a t-test. The actual value of the F statistic in that case will be the square of the value from the t-test, but the conclusions reached will be the same.
I majored in Mathematics and Statistics, graduating many years ago now. Recently, out of the blue, someone asked me to explain Analysis of Variance - and of course I couldn't, it's been too long. This video is a perfect explanation of ANOVA principles. Thank you very much indeed.
Absolutely great video! Understood what ANOVA is about in such a short period of time, good examples (also with the more variables at the end), thumbs up!
No, not necessarily.Let's say you have F(6,6). The 1% level would be 8.47, and the 5% level would be 4.28. So, if your F statistic came out to 6.19, the significance would be somewhere between 1% and 5%. If you're using a statistical package like SPSS or R or SOFA, it will give you the exact p-value, so you won't need to use a table.
If the test statistic is not farther out than the critical value, all we can conclude is that we cannot reject the null hypothesis. Hypothesis testing is done assuming the null hypothesis is true (that in some sense fixes the distribution of possible test statistics). So in this case we simply would not have proof that there is a significant statistical difference or effect. That is not a proof of equality/no effect - just that equality/no effect is still plausible.
You did an excellent job on the ANOVA presentation. Would like to also see one like this for MANOVA. We are just now beginning to study these in our doctoral classes. Thank you for your excellent work.
In your case, an independent samples t-test would be best, as it is designed for a two-group situtation. I haven't done the math on this, but my intuition tells me that an ANOVA on two groups would come out to the same result.
i liked the easy explanation. so to be sure if there are more then two groups we can use ANOVA and if there are less than two, then we can use Z-test or t-test.
and I came back from another video just to comment this because that's how much angry I am and yes I paused the video before commenting so that I don't hear that murch murch voices again
@Sabina Yeah the sounds were kinda annoying I agree but it "ruined all" of your morning. Wow you must not have any actual problems in life lol. No one forced you to watch the video in the first place.
