Thank you very much for all the statistics content! I have decided to include Statistics (25%) in my math degree because I understand it quite well so far, thanks in part to you. I am a student so I don't have much money but I've just donated $25 to you and watched full advert on this video to support you as much as I can.
Thank you so much for doing this💕! I was so frustrated by lerning statistics for my psychology studies and now i have hope again☺. You are really good at explaining!
Beautifully explained. Great pace, easy to follow even for someone lacking an extensive background in statistics. Thank you very much for your video series on ANCOVA, a great introduction to your content.
Heyy! Thank you for the explanatory video, very articulate and clear! I wanted to know - how did you come up with the assumed GPA value (equal to all individuals in the study) of 2.98? What is the calculation behind this value? Thank you once again!
Awesome lecture Videos! Thanks a lot, Brandon. Because of these videos, statistics is much enjoyable. Could you please help me by advising how to realise ANCOVA in R. I am not able to find a proper function/package to replicate the same explained by you above.
Brandon a million thank yous for this video. It was very helpful. I was wondering do you have a video on how to interpret the F-test results. I am not clear what is "low" and what is the scale that is being used. Thank you
Hi, but what about the interaction terms? In some studies, it is first checked for the interaction terms. Depending on that they are either compares slope or intercept.
Hi Brandon, thank you so much, I enjoyed watching your vids! In your example you had 3 groups with equal sample size and assumed normal distribution. does ANCOVA still work if the sample sizes in each group is different and data is not distributed? in other words, is there a non-parametric version of ANCOVA? Thank you.
Hi Brandon, your tutorials are extremely helpful, however I would like to ask you if you have covered the "design of experiment, Taguchi and Placket Burmann designs? I would appreciate if you can provide me with the link and if you can share with us the lessons as I am finding lot of difficulties to digest these topics and I am preparing for my Lean Six Sigma Black Belt Exam soon. Thank you in advance for your help, Sincerely, Mayssa
R squared alone cant be negative. However Adjusted R squared can be negative because, it is different calculation. And Adjusted R squared will always be less than or equal to R sq. So when you have R sq close to zero, adjustation can go negative. You dont have to bother with reasons why if dont want, only thing you need to know about this is that if adjusted R sq is close to non-adjusted R sq. it is good! And when its a lot lower, something can be wrong with your chosen variables.
Thank you very much for all the statistics content! I have decided to include Statistics (25%) in my math degree because I understand it quite well so far, thanks in part to you. I am a student so I don't have much money but I've just donated $25 to you and watched full advert on this video to support you as much as I can.
ya same here. i dont have the means to give, but i watched adverts to support it
Great class! Please keep doing such amazing job for our community. Watching your videos became my daily routine.
Brandon, you are a true lifesaver, as always. THANKS!! No one can explain these concepts like you can.
great LECTURE, much better than any other lecture I looked at.
Thank you so much for doing this💕! I was so frustrated by lerning statistics for my psychology studies and now i have hope again☺. You are really good at explaining!
Beautifully explained. Great pace, easy to follow even for someone lacking an extensive background in statistics. Thank you very much for your video series on ANCOVA, a great introduction to your content.
Great video! Concise, elegant, and straightforward! Thank you so much!
Great work, way better than university professors! please, also explain multiple linear regression II, Modelling strategies and methods.
These two videos about ANCOVA Was awesome. Pls mention the next video.
Awesome video
Thank you so much for putting this out there! It's really helpful.
Awesome!! everything seems so much easier
More details needed, and more examples.
Heyy! Thank you for the explanatory video, very articulate and clear!
I wanted to know - how did you come up with the assumed GPA value (equal to all individuals in the study) of 2.98?
What is the calculation behind this value?
Thank you once again!
Awesome as always
Thank you so much for these informative videos! How do you determine which type of sum of squares to use?
Awesome lecture Videos! Thanks a lot, Brandon. Because of these videos, statistics is much enjoyable. Could you please help me by advising how to realise ANCOVA in R. I am not able to find a proper function/package to replicate the same explained by you above.
Brandon a million thank yous for this video. It was very helpful. I was wondering do you have a video on how to interpret the F-test results. I am not clear what is "low" and what is the scale that is being used. Thank you
Hi, but what about the interaction terms? In some studies, it is first checked for the interaction terms. Depending on that they are either compares slope or intercept.
thank you it is very useful
Hi Brandon, thank you so much, I enjoyed watching your vids! In your example you had 3 groups with equal sample size and assumed normal distribution. does ANCOVA still work if the sample sizes in each group is different and data is not distributed? in other words, is there a non-parametric version of ANCOVA? Thank you.
i wish you had some tuturials in python for this.
just great !
So the Ancova adjusted the Covariance of GPA to a uniform level of 2.9, and the method of achieving this is the same as matched pair t test?
Hi Brandon, your tutorials are extremely helpful, however I would like to ask you if you have covered the "design of experiment, Taguchi and Placket Burmann designs? I would appreciate if you can provide me with the link and if you can share with us the lessons as I am finding lot of difficulties to digest these topics and I am preparing for my Lean Six Sigma Black Belt Exam soon.
Thank you in advance for your help,
Sincerely,
Mayssa
Brandon, can u please share the link of all the slides? So it will be beneficial in revision for exam.
Brandon, what's the difference between the total SS and the model SS?
Sir. Can you do videos on non parametric also
How can an r square value be negative?
R squared alone cant be negative. However Adjusted R squared can be negative because, it is different calculation. And Adjusted R squared will always be less than or equal to R sq. So when you have R sq close to zero, adjustation can go negative. You dont have to bother with reasons why if dont want, only thing you need to know about this is that if adjusted R sq is close to non-adjusted R sq. it is good! And when its a lot lower, something can be wrong with your chosen variables.
what does it mean when the covariate is significant or non significant in the ANCOVA output? 10:18
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