I am teaching Statistician and I am very much impressed by way you explain the topic making my understanding topic even better. How QQ plot differ from PP plot, please make a video of it. I have a slight confusion over it. Thanks
Thank you very much for the video. Very lucidly explained. Do you have tutorials for how to read plots of "residuals versus fitted values" and "residuals versus regressors"? Thank you.
0.5 is a way to standardize the a normal distribution where the center of the distribution is not 0. In this case, since he is using percentiles, we start with the 0th percentile all the way to 100 percent. Therefore, to make the middle zero we have to subtract 0.5 as that is 50 percent out of 100. Please look up how to normalize a standard distribution for more. This was just my attempt at explaining something I’m sorry if it was poorly executed.
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I can now say I have understood not only how to display a QQ plot but the concept behind.
Thanks.
Best tutorial on TH-cam for this plot. Really helpful, thanks
I am teaching Statistician and I am very much impressed by way you explain the topic making my understanding topic even better. How QQ plot differ from PP plot, please make a video of it. I have a slight confusion over it. Thanks
Great tut. Why did you minus 0.5 at the percentile?
thank you so much I needed this to answer my gf's assignments.
Great tutorial, clear, correct, and using current version of excel. Great help!
Thank you so much, you really saved me for my assignment. I appreciate you so much
Very welcome!
nice video Top Tip Bio. I killed the thumbs up on your video. Maintain up the quality work.
The trendline is the wrong thing to use here as it is the OLS best fit line for the data. What you want instead is a line that represents y = x.
at the step 2, why you distract 0.5? where is it come from?
i mean when i=n, if you don't distract 0.5, the pencentile would be 1, and in normal distribution you would get a infinite number i guess that's why
what if the data is gamma distributed? would it be the same way?
Thank you very much for the video. Very lucidly explained. Do you have tutorials for how to read plots of "residuals versus fitted values" and "residuals versus regressors"? Thank you.
Thnx for sharing in such a beautiful way
As usual Great tutorial
Thank you!
Best explanation
Great tutorial,tysm ❤️
very clear, thanks!
this was so easy to follow!! thank you so much you saved me
Really helpful vedio
Thanks :)
Спасибо!
thank you
Hi Steven,
can you please make a tutorial on AUC and ROC curves ? thanks
hi, for the percentile, why do you do -05? i used to do -1. thank you
0.5 is a way to standardize the a normal distribution where the center of the distribution is not 0. In this case, since he is using percentiles, we start with the 0th percentile all the way to 100 percent. Therefore, to make the middle zero we have to subtract 0.5 as that is 50 percent out of 100. Please look up how to normalize a standard distribution for more. This was just my attempt at explaining something I’m sorry if it was poorly executed.
thanks a lot!
Does data have to be ranged growingly?
I know you have probably this figured otu by now but i had the same question and have also figured out the answer is no :)
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What if i keep getting the #NUM error message for my z-score data?
Tutor Steven please we need response to this question.