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From: UCLACourses
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  • Professor Enderton was the best I have attended.it is great loss for people like me...

  • Is there any material for the course? I don't want to buy the expensive book and only use one chapter of it.

  • Is it true that he is dead? If it is, he's a great loss. He's a brilliant person.

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  • RIP Prof. Enderton

  • I thought Hitler was dead not teaching at UCLA!

  • RIP Herbert Enderton. A great mathematical logic expositor

  • I get so nervous when he breathess like that :P

  • is that a holter he ha straped on?

  • This guy passed away in October

  • thank you!!

  • yo this shit is mad borin son lol.. he needs to make it more interesting.. this teacher sux balls

  • @urbanreggie 'cause you don't understand you fucking idiot.

  • nice beard

  • I learnt this in highschool, grade 12! But wow Uni is fun :0

  • miislaboinquen your wrong because the 90% accuracy can only eliminate 90% percent of the options of him being healthy which were 99% to 1% therefore your still left with one out of eleven 10.9 to be exact that hes sick which is about a nine percent chance

  • I learn it in elementary school.

  • Wouldn't that first .01statistic become entirely irrelevant.

    According to me he would have a 90% chance of having the disease.

    This is because the test "DID NOT" have error rate for negative people.

    So therefor those who were actually positive tested positive.

    Because everyone positive tested positive the .01 of people who were positive does not play a part in this equation.

    Therefore only 1/10 who tested positive were actually negative.

    Correct me if I'm wrong. Like if you agree [^_^]

  • one in the same, math instructors. in personality and in method.

  • So, You have 10% of healthy people, 1% being unhealthy because they are actually sick. So a tenth of a 99%, that is 9.9% correct? Then, You also have the 1% actually sick. Add em, you get 10.9%. Now, essentially, your wanting to find the probability that if Smith is defined sick, he is sick. Set up a proportion, you get 1% over 10.9%. The percents can be used as units and cancel out, so its 1/10.9. technically this is viable, because its also 10/109. Which is about 9%. Seemed like common sense..

  • 1:24.. dude almost blows chunks

  • do i get a degree from UCLA after watching all the lectures on youtube?

  • @ComfortableLate very good question, do We get something?

  • @ComfortableLate im trying to get to PhD research online, and submit paper to university.

  • this poor professor hasnt been laid mabye 2 times in his whole life.....I feel sorry for him

  • how much are they paying this fuck to copy off a prewritten form to write on the board and come up with a speech to talk about it? jesus i could do this

  • Thank you for posting on youtube. Not everyone can receive a UCLA education and some institutions are unable to recruit qualified professors. Your lectures made my passing probability possible through your organization and detail explanations. I wish my tuition could go to you, since you actually earned it!

  • very good class! you guys are improving the world through knowledge!

  • thanks Professor

  • really the lecture is the lecture is smart.

  • Can anyone give me a name of the math book you use, please?

  • Guys talks so slowly its hard to follow him.

  • Can he be a little fucking neater plz

  • 9%? What the hell!

  • @Alformaio Yeah, how is it 9%? Shouldn't it be 1/10?

  • @ohedd I think he included a false negative in the calculations he made at home. A typical example of a professor afflicted by ADD.

  • @ohedd Lol, maybe you should watch the course to learn some basic probability maths! There's roughly a 11% chance that the test gives a positive result. From those 11%, 1% is from actual disease and 10% is from false positive. The probability that mr Smith has the disease is therefore 1/11 ~ 9%.

  • @ohedd Maybe you should watch more lectures to learn some basic probability maths! Since you have ~11% probability of testing positive, 1% from an actual positive and 10% from a false positive, therefore the odds that mr Smith has the disease given that the test is positive is 1 / 11 ~9 %.

  • i thoguth this was kinda boring in the begining but then it got better....

  • why in the world... does the uploading entity/person allow these videos to be rated? I think that having these ivy league courses on line is a beautiful thing. ratings and comments on them are useless

  • @Pow3rGaming why is it an issue?

  • "God: Hidden Science" - Google it!

  • 1/10= 10%

  • Has he just been on a jog or something?

  • @Codename1337 He has the disease lol.

  • @Codename1337 no he was fighting leukemia

  • Is there any book for this course I could buy online or download or possibly be sent by e-mail from someone? (I don't live in the US.)

  • Letra ilegível e pequena.....como o os alunos enxergam?

  • this is better than some china man giving lecture in my university.

  • @delkhairio i have exactly the same problem at mine ,cant understand word they are saying. the material is hard enough without having to understand them!

  • Whoa--Herbert Enderton? This guy wrote the mathematical logic and set theory books we used at Amherst.

  • I guess this is why I never got probability. He tested positive, and 10% get false positives. At this point I wouldn't have thought the general population's chance of having the disease wouldn't  matter. So his chance is 90% that his test was correct and that he actually has the disease. If pD is %population with disease and pH is %population that is healthy, then pH+pD would be 1.

  • CHALK?!!!!!!!!

  • the first problem is a simple bayes theorem question

  • it should be a law agaisnt boring

  • Hi, I am researching the value of educational videos on youtube. I would love your input through a very short survey (will take < 2 mins). You can find a link to the survey from my youtube profile. Thanks so much for your help.

  • what is a liot?

  • i meant to say idiot

  • @lilmo90 I hate americans as well, (I am american.) but this guy isn't your typical idiot.

  • You hate yourself

  • Wow I'm actually this bored? Haha sorry. Only watch this video of you need to! I watched literally 5 min. of this and fell asleep... Sorry I'm in highschool still.

  • can you please put subtitles in portuguese. I'm portuguese.

  • you could try learning to read and listen to english first.. it will help you get a lot further in this world.

  • this is great! i love it!

  • Clear concise definitions with numerous examples! Very instructive video lecture!

  • wooow soo easy...NOOOOT!!!

  • I'm so glad that UCLA posts its classroom lectures! It's such a great way for high schoolers like me to gain exposure to new fields!

  • Thank you teacher.

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  • Thank you for this awesome video course,

    P.S : lower the low-frequency that produces hiss, this video will sounds much better :)

  • Mr. Feeney!

  • don't you learn all this stuff in high school as well? O_o

  • he will explain why when u go over examples later

  • the very first example he gives in this video...he says the probability of Mr Smith having that disease is just 9%... how come? someone plz explain!

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  • Well, 0.1 have it, at random if a person is chosen they have .1 x 1/10, the probt that the test is right is 0.1 -0.01

    0.1-0.01=0.09 also known as 9% easy.

  • The way I did it was to calculate the fraction of people who tested positive who actually have the disease (that is pD/(pD+pH)). Then you would be calculating the probability that someone who tested positive has the disease.

    pD is .01 (because 1% of the population has the disease), and pH is .099 (because 99% of the population is healthy, and 10% of them will test positive).

    You get .01/(.01+.099), which is approximately 9.17%

  • Not bad, not that good either. The best statistics professor at UCLA is James Honaker, by far.

    Stop assuming the best stats profs are mathematicians! Stats is different!

  • This is so damn good.

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