Pointless argument about chance and randomness
" Proving me wrong? No, every link here proves YOU wrong. http://en.wikipedia.org/wiki/Randomness http://en.wikipedia.org/wiki/Probability_distribution http://en.wikipedia.org/wiki/Probability_mass_function https://www.google.com/search?q=biased+random+number&rlz=1C1GPCK_enUS411US411&oq=biased+random+number&aqs=chrome.0.57j60j62l2.250&sourceid=chrome&ie=UTF-8 In the third link there are even 2 good pictures that illustrates that all outcomes does not need the same proability for the system to be random. |
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" 1. Randomness means different things in various fields. Commonly, it means lack of pattern or predictability in events. 2. 2nd link explained at page 9 with buildings like to a kid, seriously... 3. Nice pictures, look what it says under the second one, even under the first one but I fear it would be to high for you... 4. 4th link is about how to favor a random item in programming languages' This is to easy. Last edited by Deccode#6112 on Feb 13, 2013, 11:27:38 PM
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Last edited by Deccode#6112 on Feb 13, 2013, 11:27:11 PM
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" You CAN'T PREDICT the result of the next fusing. The fact that some outcomes are more likely than others is really not relevant at all. " Did you even click the link? I doubt it. " It just says that all the numbers on the die have an equal chance of appearing on top when the die is rolled. Shocking! Did you completely ignore the first picture of a system where outcomes have different probabilities? " Yes. But it doesn't make it non-random. " Indeed Last edited by Sickness#1007 on Feb 13, 2013, 11:40:35 PM
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" 1. Huh? You hoping to switch sides now? Where did I say that you can predict the outcome of it lol? 2. Do you even understand what is written there? 3. Yet again trying to switch sides. Where the hell did I say that the outcomes has to be the same? How is that random dafuq? 4. "In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population are less likely to be included than others. It results in a biased sample, a non-random sample"; http://en.wikipedia.org/wiki/Sampling_bias Are you even arguing with the right person? I merely see your words as statements anyway... Last edited by Deccode#6112 on Feb 13, 2013, 11:43:12 PM
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The first picture there shows a random system that has outcomes with different probabilites.
Nothing else is needed here. You were called out and refuted 2 pages ago, what is your problem? Last edited by Sickness#1007 on Feb 13, 2013, 11:53:53 PM
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" No shit Sherlock lol. And how are you now trying to prove me wrong? |
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" Have you already forgotten what you said? "The system is random when and only when all outcomes have exact same chances." How can there be a random system where all outcomes does not have the exact same chances when a system is random when and only when all outcomes have the exact same chances? |
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" Except in cases like a Probability Mass Function where you use discrete random variables which aren't always equal in probability, yet still defined as random variables. I recognize and I'm sure the other dude does too that sampling is typically done at fair/equal random probability, but there does exist another type of random variables that are typically bias in nature. I'll speak to my professor next time I see him or I could e-mail a non-interested third party to give his educated opinion on the matter, but I believe I am right and wish to leave it at that. I suggest you both do the same as well. IGN: Mibuwolf
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" I think you are mentally challenged. "How can there be a random system where all outcomes does not have the exact same chances" Exactly! "when a system is random when and only when all outcomes have the exact same chances?" Bingo! I ask you are your writing skills or logically skills this time not working? |
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