thanks for dong this, please clarify what if we get negative values in the test , can we consider it as rejection of alternate hypothesis or we consider it as rejection of null hypo
the data set {80,76,34,80,73,80} has values of 80 tied for 4th, 5th, and 6th place; since the mean of {4,5,6} = 5, ranks would be assigned to the raw data values as follows: {5,3,1,5,2,5}.
The alpha is just a arbitrary value for the p-value. A p-value smaller than alpha means a significant result, a p-value equal to or greater than alpha means it's not significant. You can choose this alpha at any value you want, but it's most common to have it at 0.05
You mean Kruskal-Wallis I think. With a Kruskal-Wallis test he would rank all the data as if it was one group instead of ranking each group separately.
Absolutely amazing video on the Friedman Test! Thank you for breaking it down instead of making us stats newbies break down... in tears :)
Short, sweet, and right to the point. Thanks!
Yo, This video was perfect. Pace, steps, visual aid. Thanks a million!
Thanks! This is so succinct. Easy to follow.
This channel is so informative. Thanks a lot.
Thank you for this idea it really helps me a lot. Hoping that everything will go well in my reporting 😊
thanks for your video, it's very clear and easy to understand!!!
awesome explanation!
beautifully explained!
thanks for dong this, please clarify what if we get negative values in the test , can we consider it as rejection of alternate hypothesis or we consider it as rejection of null hypo
Thank you.. Easy to understand
Thanks a million
What would happen if you have a ranking of zero? say 0,1,2 for a visual grading?
Thank you!!
Very useful, thanks, but there's a little lack... if my test is significative, how can I calculate de Post Hoc analysis?
Very easy explication, thanks bro
Thanks!
thank you!
3:03 I don't know what I did wrong but when I calculated it, the answer in my sci. cal was 3.82
Where does the p value come in then?
thanks a lot!
Very helpful :3 Videos like this come in pretty handy :3
For ranking the numbers from 1-3, what if you have two numbers that are the same?
the data set {80,76,34,80,73,80} has values of 80 tied for 4th, 5th, and 6th place; since the mean of {4,5,6} = 5, ranks would be assigned to the raw data values as follows: {5,3,1,5,2,5}.
thank you!!!
Thanks man God bless u
How did you come up with a 2.33 answer? Without using a calculator
Thanks, very easy to follow!!!!
Uhmm nice!! Vid but I just wanna ask how did you get the alpha?? hehehe soory im just new at this friedman's test
The alpha is just a arbitrary value for the p-value. A p-value smaller than alpha means a significant result, a p-value equal to or greater than alpha means it's not significant. You can choose this alpha at any value you want, but it's most common to have it at 0.05
University prof took 30 mins to teach this stil i did not get this, and you taught me in 3 minutes hahaha .....thanks
why do you use 0.05 as the alpha?
chi square table
Whats that distribution table did you used?
Chi-Square distribution table
how did u get 2.33 step by step pls we need it so bad
=(12/6×3×4)(81+196+169)-(3×6×4)
=(1.666667)(446)-72
=74.333-72
=2.33
How did you calculate the critical value 5.99?
You gotta check from the distribution table X²a, k-1 a=0.05 k=3
At 2:43, why is n=6?
At first you can see there is six number. I mean I guess we can say six days of week so that's why n=6
Are you sure you explained friedman test because this looks a lot like a kroskal-wallis test?
You mean Kruskal-Wallis I think. With a Kruskal-Wallis test he would rank all the data as if it was one group instead of ranking each group separately.
Thank you so so so so much 💕
Love ya