Causation vs Association, and an Introduction to Experiments (3.1)
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- Опубликовано: 30 сен 2024
- Learn the difference between causation and association, and know why we use experiments
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Amazing content, beautiful and easy to understand, clear and simple and highly recommended for all statistics enthusiasts! Not to mention the extremely cute animation and characters! Gob Bless You!
loved it... im binge watching it now
I love how you use cats, can you use cats more often in future videos? :D
Yes! I will do my best :)
Please record more statistics video for data science
Best videos
Thank you so much
I always like your presentations. U R really great. How much time does it take u to make one video? GREETINGS from Ethiopia!
Greetings from Canada, thank you so much for your comment! And it takes me over 100 hours to create one video!
@@Simplelearningpro OMG! Thanks for all the effort that you put into these videos.
Whaaaaat? 100 hours... man that's a lot of work ,,new level of appreciation unlocked
this is totally brilliant presentation.... too good.
These videos are my whole Agricultural Statistics course during undergrad. Thanks a lot. I am brushing up on all the concepts and terms.
This did not fully explain the difference between correlation and association 😤
pretty good and done at the proper speed and pace, A+
the automation is so cute!
damn the cat. so cute
Hehe thank you :)
Why this back side mna give blood to that man
what program do you use to make your video?
I thing it may the frogs theropy
Can anyone tell what factor we should have to take in X axis. To calculate correlation and regression(yaxis-oral health)
X axis should be explainatory variable in this case i.e brushing time...the lurking variable is brand of toothpast.
Corelation and regression values are more reliable because we have done an experiment by taking lurking variable(brand of toothpast) instead of just taking observational data of respondent v - oral health and explainatory v - brushing time. Tq
Brilliant! Thank you
great!