Friedman Test [Simply Explained]

[@larissacury7714]

Hi, thank you! Is there an alternative to a two-way test? I mean, I have a repeated-design data, with a continuos Y predicted by two categorical predictors X1 and X2, but my residuals are not normal distributed, so I cant run an Anova or a linear mixed model...

[@leongthomas4173]

I have the same question too

[@monalisanarvaez6442]

This explanation is so clear and helpful! Kudos!

[@datatab]

Glad it was helpful!

[@ecclesiastes9.11]

Thank you so much🤍 God bless your channel more!!

[@datatab]

Glad it was helpful and many thanks for the nice feedback! Regards Hannah

[@sikukufelix8027]

I learned this test today in class and watching this tutorial again, have craps the content better

[@datatab]

Many thanks! Regards Hannah

[@franzfrank2814]

Thank you for the clear explanation. One question: What type of post-hoc test is used for the pairwise comparison?

[@paulremache]

I came up with the same question. I ended up using a Wilcoxon (W) signed ranks tests for matched pairs. Not sure if it is ok cause I found that there are multiple-comparison tests such as the Turkey-Kramer test which is based on signed ranks multiple comparisons. Hope you get the right answer from @DATAtab.

[@neham2529]

What if 2 no. Are same in row how to rank tha for eg. In a row the no. Are 6,6,4 In such case how to rank

[@manarahmed1493]

Thank you for the simple explanation. I want to know what is the correct post-hoc test if Friedmann gave significant result?

[@datatab]

You're welcome and thanks for the nice feedback! You can use the bonferroni correction. Regards, Hannah

[@pirasa5]

So then do a sign rank between pairs and consider a p of ‘0.05/number 0f pairs’ significant ? Thank you for the great video.

[@purblancas]

Спасибо большое! Мне очень помогло в понимании.

[@jeffwr6464]

Thank you so much for the video, I have a quick question: How should I assign ranks if I have the same value, for example the morning and evening are both 35

[@119alias]

Well explained. Finally I got it. Many thanks!

[@datatab]

Glad it helped!

[@swapnilsingh9809]

Mam plz explain the concept of statistics in detail it will be very helpful for me

[@datatab]

As soon as possible !!!

[@darfichdas]

Amazing tutorial, thank you so much!

[@datatab]

Many thanks! Regards Hannah

[@tamsin2741]

How do we rank the values if two of them are equal?
for example if morning = 39, noon = 39 and evening = 40

[@ramadatta7046]

Nice. A question: what if I have 10 values recorded in morning but 7 values recorded in the noon and evening? Should we only exclude the extra 3 rows in the morning? Is there possible to incorporate and use that data? Thank you!

[@datatab]

Yes the data will then be thrown out. There are methods to estimate the values, but there are many different methods that work differently well, so I can not give you a blanket tip! Regards Hannah

[@monaco1964bis]

@@datatab I like your answer.

[@santoshkumarsingh5273]

very clear explanation.. thank you so much.

[@datatab]

Glad it was helpful!

[@chamarimadubashini3762]

can we pay for this calculator??
when calculate the hand hoe to separate same value like 1,2,3?

[@datatab]

Here you find the calculator: datatab.net/

[@chamarimadubashini3762]

@@datatab thank you

[@chamarimadubashini3762]

can use minitab software for do this frideman mean separation

[@yash1152]

nice (:

[@eniolalawal2950]

Pls are we going to be given the value for the morning, noon, and evening?

[@drx.trimbak3126]

Thank you
Love you from India

[@datatab]

Many thanks! 😊Regards, Hannah

[@maryjoyvelitario4038]

I can't access the Calculator since it needs payment to see some of the answers

[@datatab]

Yes that is true! But it is cheap!

[@rashmithadiwyanjalee1824]

Is it 19.99€per month or 1999€ per month

[@nanayaaawuku-asabre8623]

can i start with the lowest value too?

[@datatab]

Yes that should work too! Regards Hannah

[@ayasarsour2860]

Amazing, thank you😊

[@rajnandani3648]

Rank order is wrong

[@datatab]

Thanks!

[@Flower17Bud]

Nice explanation

[@datatab]

Thanks!

[@nelsondelarosa5490]

Thanks so much!