Thank you for your encouraging feedback. We have recently posted a follow-up video on this topic which covers solved examples, hope you'll find it helpful too.
(what you're looking for) / (what you're looking for + not what you're looking for, but having the same condition as what you are looking for) For example: looking for probability of a true positive test. (% true positive tests) / (% true positive tests + % false positive tests) What you're looking for goes in both the numerator and the denominator. The tricky bit is what to add to the denominator. 🙂
In 10:26 you mentioned that it is a Simplest Probabilities and its different from Prior Probabilities But in 10:37 you added all the Simplest Probabilities and mentioned it as Prior Probabilities instead of Simplest Probabilities. can you please clear my confusion?
What's mentioned at the given time stamp is that these are the simplest probabilities, prior probabilities, normal probabilities...if we add up these prior probabilities we obtain the sample space.
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thank you , this is by far the most clearest video I've seen on bayes theorem .
Thank you for your encouraging feedback. We have recently posted a follow-up video on this topic which covers solved examples, hope you'll find it helpful too.
Crystal clear and straightforward ! Well done and thank you
th-cam.com/video/Ab4viREnP74/w-d-xo.html
This completes the story. Hope you'll like it. Thank you!
You’ve made bayes’ theorem lovable for me. I am looking forward to getting more videos on probability from you
Thank you! Please try these:
th-cam.com/video/jGG3cIox1co/w-d-xo.htmlfeature=shared
th-cam.com/video/Ab4viREnP74/w-d-xo.htmlfeature=shared
Exellent way of teaching Sir!! Thank you very much :)
Took a couple of rewinds to understand some parts. But I got it
So nice of you
You teach comprehensively 😊
Thank you! Really appreciate your feedback. 😊
Sitting for an exam next week and this is so helpful💯🥺
All the best! Do watch its part 2 as well for more solved examples. In fact, you can go through the probability Playlist on our channel.
I really love your explanation
Thank you! Glad it helped.
Can you please make a video on Cumulative distribution function properties, I keep trying to understand "Non decreasing " and right continuous 🙏
Thank you for reaching out. We'll definitely try to cover the suggested topic in future.
(what you're looking for) / (what you're looking for + not what you're looking for, but having the same condition as what you are looking for)
For example: looking for probability of a true positive test. (% true positive tests) / (% true positive tests + % false positive tests)
What you're looking for goes in both the numerator and the denominator. The tricky bit is what to add to the denominator. 🙂
That's why in the second video we added more solved examples. 👍
@@prosmartanalytics 👍
Thank you
❤❤❤
In 10:26 you mentioned that it is a Simplest Probabilities and its different from Prior Probabilities But in 10:37 you added all the Simplest Probabilities and mentioned it as Prior Probabilities instead of Simplest Probabilities. can you please clear my confusion?
What's mentioned at the given time stamp is that these are the simplest probabilities, prior probabilities, normal probabilities...if we add up these prior probabilities we obtain the sample space.
@@prosmartanalytics Okay, Now I understood. Thanks for your response.
It was a great experience thankyou.