Statistics 101: Nonparametric Methods, Friedman Test in Excel

[@tarapawils6876]

Thorough, clear and digestible explanation for someone who has never studied statistical analysis. You've saved the day, thank you!

[@mallninja9805]

Dude! You're like the first KZbinr I've seen who says "I have free downloads on my site" where they're _actually_ free - no email scraping, no sketchy webinars to sign up for. Just wholesome educational content trying to make the world a better place. I just sent you some $$ in your Paypal tip jar - You, sir, are a true G. Thank you

[@michaeljfox16]

Great video Brandon. Helped me confirm I did the test right when helping my wife with her Master's. You have a great voice

[@Magmatic91]

If all stats teachers were like this, then stats would be much way more accessible to students. Thank you for this great course.

[@issamsum1441]

I really appreciate you for this explanation which makes it very easy to do manually

[@anouarmizouri1310]

Hi brandon, i learned a lot from this channel. You are genius............................., thank you very very very much. and stay safe.

[@sebastianszereday6073]

Such videos are great quick learning and execution of stats. Well done and thanks!

[@Ghumantu2]

Thank you Brandon. Your videos are life saving. Thank you so much.

[@HariShankar-cn9ym]

Wonderful experience in learning. Thank you Brandon

[@chamarimadubashini3762]

can you please explain the mean separation in the fridmen test using Minitab

[@hanssayago3776]

Thank you very much, Sir! You help me a lot in the statistical treatment of my research study. Thank you!!! I hope there's MORE!

[@karanpanchal7084]

thank you brandon. you helping in my master's. pls upload for Sigel-Tukey test!!

[@MaverickRam]

Thanks for the wonderful videos, Brandon! I have watched all playlists until this except two, which I will do later. I have learned a lot. Thanks for making these videos. However, I do have constructive feedback, which I feel will increase the reach of the videos even more. I will explain by example as you do. :). When I started this playlist, I did not know what I will be learning and why, other than the fact that I will be watching non-parametric tests playlist. I go into the depth of each topic without having a full overview of how these are all related. So, this causes at times to lose interest and makes me think if I need to watch a particular topic or the next video. So, I feel an introductory video of each playlist giving an overview of what will be covered in the playlist will be helpful. For e.g., in this playlist an introductory video talking about all tests that will be covered in the upcoming videos and how they correspond to parametric tests would give be a bird's eye view of these non-parametric tests better. (You do include this point in every video, but I feel for a beginner it would be better understood in an introductory video and it organises the information better in someone's mind) After that, when I go through each topic I will know where I am at and why I am watching that video (i.e. to learn about a particular test in detail and how it relates to the overall purpose). Without that, I feel lost at times on the purpose to watch the next video. Due to this I had to often cross reference from other sources before watching a video. In either case, the in-depth explanation is fantastic, which most of the other video tutorials are missing. Thanks again!

[@alexandreirigon]

Hi Brandon! Thanks for the video! When are you going to upload the post-hoc test video?

[@ardaocal2521]

Hello Brandon, it was a really helping video! Everything was very clear. Thank you very much

[@lilluckylexy]

big ups getting me through uni life

[@sishanyzz2011]

Hi Brandon, thanks so much for your videos. I have been learning about friedman's test, and most of the sources says it's a non-parametric version of repeated measure of ANOVA, but somehow it can be used for two way ANOVA as well? did I miss something in the definition of Friedman's test?

[@firdovsihasanzada]

Great video. Thank you!

[@arashasadiabadi6013]

Very helpful video 👍... Thank you☺!

[@thomasl4298]

Hi, Great Video. But, how would you generalize this two just 2 columns? If using friedmans you would have to reduce everything to just sums of ranks between 1 and 2, right? Or is there any example of a post hoc test you could do in excel instead (like Nemenyi's), somewhere I could see? Thanks!!

[@nabilmahmoud608]

Hey Brandon! I have a question. I have some data for ordinal pre and post-test scores in control and test groups. What test should I use for that?

[@deborahcecilianavarromoral2215]

Hellooo! Amazing video !! I have just a question. What is the minimum number of rows for a Friedman test ?

[@alyssaquinones9278]

Hello! Thank you for this tutorial. It really helped a lot on my research study. Can I ask a question about the chi square formula in excel. Is the formula the same in all cases? Or should I determine first if my data is left tailed or right tailed?

[@engsiting9885]

How did you get Alpha = 0.05?

[@saraht6831]

its a very frequently used alpha level. 1/20 risk of a type 2 error

[@muhammadabdulhadi30]

Thank you man!

[@eudelannec.pascual7735]

Easy to follow, however when I ran this in spss it gives a different result of 0.000002 p value :(((((((

[@jaam1987]

Dear Brandon, Thank you for one more excellent video! You are amazing! I have sent you an email... please, reply to me whenever you can... :)