Probability Formula Sheet: bit.ly/3zb22rW Final Exams and Video Playlists: www.video-tutor.net/ Full-Length Videos & Worksheets: www.patreon.com/MathScienceTutor/collections Next Video: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-3PWKQiLK41M.html
So amazing how many times I find my way back to this channel since using it for actual organic chemistry back when the channel was young, came back for calc 1+2, and now discrete math 1+2. He teaches every subject perfectly every time. He has saved me so many times. This man is a gift to the world of learning. Thank you!
When I hear your voice. Peace comes. And I know all my studies are gonna be okay. Literally all my studies. Physics, Math, Chemistry, Electrical Engineering, Quantum Theory, it's all covered. When I graduate I'm donating a large sum to you. I highly encourage those struggling and do well for themselves to do the same. We need to become like you. And spread out knowledge as articulately as you sir. Thank you. Thank you so much.
what i learned from this: if you have cancer, relax, just use the conditional probabilities and see that its all just a probability, that will cure your depression for sure
Just trust in Allah Almighty, and know that this is what He has determined for you to test whether you will be patient or not, and that if you are patient, he will be satisfied with you and you will attain eternal paradise, just do this and you will always rest, nothing is more comfortable psychologically than being a true Muslim
@@الإسلامدينالحق-خ5ت fuck man, the Christian I met last week was telling me the same thing. Idk who to choose. Can you demonstrate why I should pick Allah over the Christian god?
I just realized something: P(A|B) = P(A & B)/P(B) is the same as P(A & B) * 1/P(B). This might seem trivial, but consider what the inverse of probability is! It's a "rate of occurrence", or something like that. Because you already know event B happens, it only makes sense that we need to use the inverse of probability to properly scale the probability P(A & B). Dividing by a probability "increases" the conditional probability, which is what you would expect given that event B is known to have happened. Consider that the P(B) is very low, like 1/1000. If event B known to happen, that makes P(A|B) 1000 x more likely than P(A&B), which is 1/P(B). When I realized this, the concept seems to sink in easier. Thanks for this video that helped me make the connection!
I don't know why in college they just make everything seem complicated like... The difference between the way you are explaining it and the way my lecturer explained is like night and day.... I'd rather pay you to be my personal tutor and skip my classes than go there and listen to that guy...
You are truely a tutor. I struggled to undestand this theorem for 2 days, looked everywhere and nobody could explain in simple words, but YOU. Thank you for your work and time and dedication to channel. Bless you!
I struggled for a semester with math and now I understand everything within a week of studying all of my chapters covered , I really am looking forward to donating when I graduate .
i have a question, thank you for the video but doesnt a false positive test result means negative? in the explanation you wrote (+/nc) and i think it should be (-/nc) @TheOrganicChemistryTutor, please correct me if i am wrong, thank you
Thank you very much for this series of videos! I have been struggling with my WGU course for a few weeks, trying to understand these concepts, and this video is really helping me to turn a corner.
You Sir are awesome :-) I have an exam in 2 days time and you have helped me understand Bayes' Theorem much better and fun to learn than other sources.
Watching this vid ... I had a major conceptual error. I thought A and B were sequential events. But I see that are simultaneous events. It would help to say: “what’s the probability that A HAS occurred given B.” (Not “will” occur. Will implies a future sequential event. ).
I have watched a lot of the vids from this channel and start to question my self why i have to pay my tuition fee, the only Bayes' theory the lecturer teach me is... *call out its name* and that is, literally teach me nothing and jump to the problem solving. I don't know whether i have to say f*ck my life or the college. Thank you for your vids THANK YOU
P(t) means the person has a positive result so there are two conditions first, man tests positive and has cancer. second, man tests positive but does not have cancer. I think
What surprises me is the flawed testing system. Because I’m thinking about this logically to the best of my ability and you can not have cancer and still get a positive result. It would be like a ton of bricks hitting your head
For the prostate cancer in men question...what exactly is the meaning of false-positive? From my understanding, a false-positive means a negative test results (indicating a safer or better results) and a false-negative means a positive test result (indicating a worse or not soo good condition). If you agree with my definition of false-positive, then I believe you may need to review the probability calculations there. Regards.
me too I do have confusions with the term false positive. and I end up searching it so here's what I've got False positive: A result that indicates that a given condition is present when it is not. An example of a false positive would be if a particular test designed to detect cancer returns a positive result but the person does not have 'cancer.
Sir With due respect, you have covered most of the topic in your videos, including the tiny ones ... However, there's a dire need of understanding Laplase Transform from you sir ... Hoping for videos on that topic too ...
In The first exercise, P(B|A) would be P(B intersection A)/p(A). P(B intersection A) would be P(B) * P(A). 5/9 * 6/9 = 10/27 which divided by P(A) doesnt give 2/5
anyone who can recommend me a school with now grading system. I hAte the grading system school. instead of learning more because grading system, I cannot even get to my own learning minimum limit and I hate that. I want unlimited learning. band the grading system it is unfair for students and for some reasoning probability is good for the world. there are lots of negative probability having grading system. and more positive probability without it. think about it everyone. or am I the only one who think about it.
at 13:00 I don't understand how did he calculate the amount of test results, I know logically it makes sense but is there an equation to follow once one probability is not found. also at 18:25 should the number of people who have cancer is 1200 instead of 1140? when he calculated the amount of positive test result he used the sum 1140 + 528 why only using the 1140 when calculating the number of people who have cancer shouldn't also contain the number of people who have cancer but got negative test results? I'd really appreciate some help here.
Please Sir, preamble says; a man without a prostate cancer has 6% chance of getting a "false positive test results". Please I don't understand the statement in quote, kindly help Sir
I will definitely pay back once I start earning with all the knowledge you gave us . Unless college which sucks money , teaches nothing and annoys with assignment n 75% attendance
i used to reads the comments of people saying they have a test the following day. it didn't age well because tomorrow it is I who is going to get crushed especially testing hypotheses and confidence interval (:
at 13:00 why did we have to do the whole multiplication thing when the purpose of that was to know how many people have cancer and get positive test results and we already have that: 0.95. if anyone could explain
