Please remember that during the one sample test there is a comparison between the observed and the theoretical data and in the two sample case you will be comparing two observed distributions. That means you have two sets of data like a independent sample test. Other things remaining same.
@@ankitamourya7469 These are standard values(from critical value table for KS) for specific n (in this case as n is above 35 i.e. n>35, so the critical value is calculated by 1.36/n). You can directly search the critical value table for KS and get a clear understanding. or can refer to this pdf of table people.cs.pitt.edu/~lipschultz/cs1538/prob-table_KS.pdf
Please remember that during the one sample test there is a comparison between the observed and the theoretical data and in the two sample case you will be comparing two observed distributions. That means you have two sets of data like a independent sample test. Other things remaining same.
Sir, please explain Wald-Wolfowitz test also, could not find it in your lecture series.
Thank you so much sir 🙏☺️☺️☺️
by far the best explanation of ks test with an example. thank you
Explanation is very well💯 thank u sir..u continue uploaded for videos
Thank for this video. Please how to make a K-S test when I have a sample adapted for PLS method, so when some variables are explained by 5 items each.
Hi Sir, can you explain Two sample K-S test also like you did for one sample
great explanation
Great 🙏❤️
very nice ... :)
Hi Sir,
Can you please make a video on solving a question using a K-S two sample test?
Dear Arushi, making a video might be difficult because of lack of logistical support but I will try to send you some documents which would be helpful.
@@jogendranayak420 That would be really great Sir. I truly appreciate that and I'm looking forward to your next reply. Thanks. Regards.
@@arushisabherwal7922 did you get some notes, please forward
@@arushisabherwal7922 please share the notes if you have, thanks in advance
@@vikashagrawal7051 No, I didn't
👌
Im sorry, how to write this in R?
ks.test(sample1, sample2)
you will get D and p vlaues from there you can accept or reject your null hypothesis
D(.05)=1.36/√n instead of 1.36×√n. @14:27
from where we are getting 1.36?
@@ankitamourya7469 These are standard values(from critical value table for KS) for specific n (in this case as n is above 35 i.e. n>35, so the critical value is calculated by 1.36/n). You can directly search the critical value table for KS and get a clear understanding. or can refer to this pdf of table
people.cs.pitt.edu/~lipschultz/cs1538/prob-table_KS.pdf