That's a brilliant, quick, simple explanation of that statistical test. I have never seen someone explaining statistics so clearly, wow!! Thanks a lot, was really helpful
Wish I found these sooner. I can just see the process at a small scale for a few minutes instead of just having an equation plopped down at me. Thank you sir
Thank you so much for sharing these videos by hand. This has been immensely helpful for my epidemiology preparation this year! I really appreciate your work.
Thank you professor. By a very big mistake we followed old outline for statistics and just found out a week ago. Our finals are in less than a week. So now we are covering up our mistake. This helped a lot since fortunately only few test were not same in both outline (old and new). So this video have actually helped quite a lot. Once again. Thank you.
Thank you so much for taking the time to do these videos... I'm in graduate school doing epi/biostats and these videos just saved my academic career. You explain in a way that is very easy to understand, thank you!
You are a lifesaver. I'm not even in university anymore, but I only had one statistics course and it wasn't helpful for applying statistics to real-world data. I at least understand what I'm looking at and what I need thanks to you.
Thank you SO MUCH!! This was incredibly helpful as my Stats final is this coming week, and the Mann-Whintney was great too - I wish I found you MUCH sooner. Thanks!
Dear Professor Eugene, I believe you meant the difference between the measurements of aluminium content in months of august and november for beau pré (beautiful meadow) is 6.2, not 6.3, please...
Really lovely video! Thank you. Seems that the GIBECQ difference should equal 7.3 not 5.3 and the BEAUPRE difference should equal 6.2 not 6.3. This subtly changes the rank orders. Seems that would lower T_- from 16 to 15 and increase T_+ from 75 to 76, but doesn't change the finding.
Professor thanks so much. I have been lost in class this video is so helpful. But please could you explain how to know when it's either a one tailed or two tailed test
I believe you have made a miscalculation at 4:06. Both the difference and the absolute difference between the November and August data is 6.2, not 6.3.
Eugene, thank you for this. Two questions for you: Let’s say I have T+ of 9 and T- is -16. Is it correct to say you would then use T+ as 9 is lower than the absolute value of T-? Let’s say I have T+ of 52 and T- of 0. Do I use T- as my test statistic? Also if in wanted to calculate the effect size, I read I should use the absolute test statistic and divide by the sqrt of n, but if it’s zero, this will just result in zero… even though there was a big positive swing. Hope this makes sense, nice to hear an Irish voice here away from home.
Normality requirement for individual samples is not needed for the paired-sample t-test, only the difference b/w sample data must be normally distributed
I am confused, I think we can perform the paired T-test here since the data is normally distributed according to the Shapiro test with a P-value of 0.304. I think the assumption of normality in the paired t-test for the difference between the matched-pairs, not for the data sets in general.
I remember the first time I ever learned about a Wilcoxon test, my buddy called it a Willcocksuckin test. I laughed hysterically.
klkķk
Lmaoooo
hehe
Best 9 minutes I could have spent the day before my final exams! Concise and so well explained! Thank you Professor!
it's 2017 and i love how you are still using papers to explain this to us.
Hi, Karen I guess that's why they say old is gold. Happy Learning and good luck for your exams
I like it more than PC. It makes more sense when studying tbh
Thank you so much Professor. Your method is easy to understand and recall. Brilliant for use before exams.Your explanation is great too. Life saver!
Perfect..👍
This was insanely helpful and extremely timely! Plus your accent is SO awesome. Thank you so much!!
I don't get why anyone would dislike such a helpful video.... Thank you this was helpful
These are the best non-parametric test instructional videos on TH-cam. Thank you.
This is a lifesaver, I only have materials to read since the class was moved online, this was more than helpful. Thank you very much, professor.
A timeless masterpiece. I came here green, but look at me now, all ripe! Thanks prof.
That's a brilliant, quick, simple explanation of that statistical test. I have never seen someone explaining statistics so clearly, wow!! Thanks a lot, was really helpful
Professor, you have been single handily SAVING me in my grad school class. Thank you!!
Wish I found these sooner. I can just see the process at a small scale for a few minutes instead of just having an equation plopped down at me. Thank you sir
Comprehensive yet concise, thank you for your teachings, professor.
how come i never see a professor like you? you are the real professor thanks
Thank you very much! As a medical student without much knowledge in statistics, it was very useful to calculate my clinical trial results 😊😊😊🙏🏼🙏🏼🙏🏼
Hi, Eugene.... It's been awesome to understand the W test you performed and made so simple!!!
Thank you so much! I had a ton of issues understanding when to use T+ or T- until I watched this! :)
Thank you so much for sharing these videos by hand. This has been immensely helpful for my epidemiology preparation this year! I really appreciate your work.
Thanks a lot sir...you speak fluently that is why we easily learn... It was really helpful
Super easy, thank you! And i saw this just in time for the Stats exam tomorrow. God bless you!
Your videos are the best. You specifically demonstrated and explain the concept extremely well! thank you!!!!
:-)
Thank you professor. By a very big mistake we followed old outline for statistics and just found out a week ago. Our finals are in less than a week. So now we are covering up our mistake. This helped a lot since fortunately only few test were not same in both outline (old and new). So this video have actually helped quite a lot. Once again. Thank you.
Thank you so much for taking the time to do these videos... I'm in graduate school doing epi/biostats and these videos just saved my academic career. You explain in a way that is very easy to understand, thank you!
Dr. O' Loughlin... You're a wonderful professor .... God Bless you !
ur the stat student
You are a lifesaver. I'm not even in university anymore, but I only had one statistics course and it wasn't helpful for applying statistics to real-world data. I at least understand what I'm looking at and what I need thanks to you.
Thank you SO MUCH!! This was incredibly helpful as my Stats final is this coming week, and the Mann-Whintney was great too - I wish I found you MUCH sooner. Thanks!
Biggest thanks! Very graspable and useful! Great lesson.
Thank you! This was very useful, clear, and right to the point. Great video.
Short and straight to the point thank you
Watching this in 2024☃️
this was wonderful, thank you!
Clear and nicely structured. Well done sir !
Thx a lot, you saved my exam! We never got this clear explanation what is going on in the test only some R outputs... Paper helps sometimes ;)
Prof. O'Loughlin: Thank you for taking questions! Would you consider Wilcoxon signed-rank test appropriate for numerical counts?
Very well explained, and the video is great! Thank you.
Dear Professor Eugene,
I believe you meant the difference between the measurements of aluminium content in months of august and november for beau pré (beautiful meadow) is 6.2, not 6.3, please...
Thank you for making my life easy 🙏 8:38
Amazing. Very clear. I also love you accent 😏
Thank you Professor for this helpful video.
Thank you so much for making this video! It's very clear and easy to follow :)
Thank you so much, i really need this explanation.
Brilliant!!!! So easy to follow.
very well explained and its very easy to understand this method after watching this video.
thank u sir.
This was beyond helpful! THANK YOU!
Thank you so much Sir for the much needed help
Excellent video sir. Thank you so much.
Thank You Professor .. God Bless You
Thanks a lot...for this simple explanation
You are welcome
Thank you so much, Professor. This is an amazing video.
thank you professor i can understand, and i hope my lecturer can make a video like you
Really lovely video! Thank you.
Seems that the GIBECQ difference should equal 7.3 not 5.3 and the BEAUPRE difference should equal 6.2 not 6.3. This subtly changes the rank orders. Seems that would lower T_- from 16 to 15 and increase T_+ from 75 to 76, but doesn't change the finding.
Thank you Professor for the amazing video. One question: How did you get the P Value ?
he didn't calculate it in the video. You need a computer program or more advanced stats
Amazing explanation. Thank you so much!
Very helpful dear sir... Totally understand
Thank you very much. you helped me to understand this.
This was very useful. Thank you so much.
Thank you Professor! Very easy to understand
Thank you! Your video was very useful and easy to understand : )
But the process is very helpful.. thank u so much.. from phil.
Thank you sir ,You save my life thank you
Wonderful sir
Brilliant! Thank you so much!
Thank you so much professor ❤❤
Great content sir, very helpful, thanks a lot.
Great video! How do you know which to take away from which ? E.g August from November ? I always get the signs the wrong way round
You are amazing! thank you so much.
That was brilliant, thank you.
Thank you so much professor
Professor thanks so much. I have been lost in class this video is so helpful. But please could you explain how to know when it's either a one tailed or two tailed test
Thank you 🎉❤ professor 🫡❤️
Very well explained
Thanks for clear explanation Sir.!!
great explanation thank you
Nice video. But why did you subtract the November and August from right to left? 2:47
that helped me a lot. thank you Sir!
Very useful. Thanks a lot
Very informative video. can you also tell what to do if the difference is zero. do we add it to either T+ or T- or just ignore it?
Thank You so much prof!!
Where the P value came from?? It will be given in question or we have to calculate it???
There are tables to calculate the p value.
It's so confusing that we reject null hypothesis when test stat < Critical value in Wilcoxon's....exactly opposite of what we do in t-tests.
It helps me a lot. Thank you
I believe you have made a miscalculation at 4:06. Both the difference and the absolute difference between the November and August data is 6.2, not 6.3.
Thank you! Really helped.
Wow excellent presentation good job mate~
thank you for the help!
Eugene, thank you for this. Two questions for you:
Let’s say I have T+ of 9 and T- is -16. Is it correct to say you would then use T+ as 9 is lower than the absolute value of T-?
Let’s say I have T+ of 52 and T- of 0. Do I use T- as my test statistic? Also if in wanted to calculate the effect size, I read I should use the absolute test statistic and divide by the sqrt of n, but if it’s zero, this will just result in zero… even though there was a big positive swing.
Hope this makes sense, nice to hear an Irish voice here away from home.
Good video. Please note 16.2-8.9 = 7.3
James
Thankful that's so easy ❤️
Superb presentation...Thanku sir
thank you for saving my life ly
thanks so much. finally, i understood.
Normality requirement for individual samples is not needed for the paired-sample t-test, only the difference b/w sample data must be normally distributed
This is really really usefull ! Thank you !
Thank you Professor. How about the n is lower than 5 pairs? it is necessary to use this test? thanks
Can I use this test to compare two sets of data. They are measurements of one variable. One is model value and the other is the actual data.
I am confused, I think we can perform the paired T-test here since the data is normally distributed according to the Shapiro test with a P-value of 0.304. I think the assumption of normality in the paired t-test for the difference between the matched-pairs, not for the data sets in general.
Absolutely perfect.
Respected Sir,
Please let me know the formula you used in the illustration given by you in this particular video.
Thank you so much. ❤
Well explained !!