Thank you Jelly for your beautiful explanations! Could you please make a video on how to read complete results and understand what the graphs are saying
rejecting or failing to reject is based on the pvalues and that probability being less than alpha. So t values do not matter...however you can compare critical t value to the t value and determine to fail to reject or reject the null in that way (Google more resources on critical t) F value is ideal for ANOVA so not covered in this video. Great question
your videos are so helpful! thank you so much :)
Thank you so much!
This is so helpful..Please keep making videos for us ☺️
Thank you so much and will do!!!
Thanks! Brilliant explanation!
Thank you so much for the kind words
I keep revisiting SAS tutorials to learn but haven't found one I really liked until now! This is so helpful, thank you!
Thank you so much for the kind words!!! Glad it is helpful
Could you please do on deep learning projects with clinical imaging data analysis with examples
Thank you Jelly for your beautiful explanations!
Could you please make a video on how to read complete results and understand what the graphs are saying
I will add this request to the list thanks so much.
Great explanation
Thank you
you are the best! I am learning a lot
i wonder why this video has a less reach. it is simply the best.
Thank you so much for the kind words
Dear Jelly, if you permit or share pdf format your lessons, i would like to thanks a lot. Please keep going, ❤❤❤
I will share PDFs on a github repo for future lessons thank you for the recommendation and support
amazing tutorial thanks
You are welcome. Thank you.
so clear 🙂
Is there any video for using Weight Statement for proc ttest when one class variable does not have two levels?
At the moment no but thanks for the video request
Question If T value differs and a bigger F value occurs should we still reject the null hypothesis?
rejecting or failing to reject is based on the pvalues and that probability being less than alpha. So t values do not matter...however you can compare critical t value to the t value and determine to fail to reject or reject the null in that way (Google more resources on critical t) F value is ideal for ANOVA so not covered in this video. Great question
Thank you very much! just subscribed@@learningwithjelly