Index of /~tallpik3/caption/RES6012Prob/072622t
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Description
Parent Directory
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L01.1 Lecture Overview-1uW3qMFA9Ho.en.vtt
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L01.2 Sample Space-iQ2edOqEQAs.en.vtt
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L01.3 Sample Space Examples-__T3eJtjoic.en.vtt
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L01.4 Probability Axioms-pA83XtLeVig.en.vtt
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L01.5 Simple Properties of Probabilities-WTyLg_I1oFY.en.vtt
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L01.6 More Properties of Probabilities-N3I2ZLbh6zQ.en.vtt
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L01.7 A Discrete Example-AsSQdpZdP8U.en.vtt
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L01.8 A Continuous Example-NbYB0fiHoCs.en.vtt
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L01.9 Countable Additivity-mUxg3j_h5GM.en.vtt
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L01.10 Interpretations & Uses of Probabilities-uGGTX2ypzKI.en.vtt
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L02.1 Lecture Overview-B5y6fy5iUtg.en.vtt
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L02.2 Conditional Probabilities-MPRKc4UPoJk.en.vtt
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L02.3 A Die Roll Example-YenDB3yOfDc.en.vtt
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L02.4 Conditional Probabilities Obey the Same Axioms-L_pEeYLGaP0.en.vtt
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L02.5 A Radar Example and Three Basic Tools-uL31gpFdarc.en.vtt
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L02.6 The Multiplication Rule-ugzs7dgQ-JE.en.vtt
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L02.7 Total Probability Theorem-8odFouBR2wE.en.vtt
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L02.8 Bayes' Rule-kz2tvO_ZAKI.en.vtt
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L03.1 Lecture Overview-QXKgTPR_8wk.en.vtt
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L03.2 A Coin Tossing Example-rZKUmNvCjis.en.vtt
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L03.3 Independence of Two Events-w423ypsUHf0.en.vtt
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L03.5 Conditional Independence-7B3cDe39lwY.en.vtt
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L03.6 Independence Versus Conditional Independence-TAyA-rjmesQ.en.vtt
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L03.7 Independence of a Collection of Events-UbQcqFH33G0.en.vtt
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L03.8 Independence Versus Pairwise Independence-aJXfyfQs2Mc.en.vtt
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L03.9 Reliability-UDkq_cLVSmc.en.vtt
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L03.10 The King's Sibling-iPWyElxtk-8.en.vtt
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L04.1 Lecture Overview-poeHeiiiLKI.en.vtt
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L04.2 The Counting Principle--k8WU-KB0rk.en.vtt
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L04.3 Die Roll Example-KrjZyCRi29o.en.vtt
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L04.4 Combinations-o_qO7RYBF10.en.vtt
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L04.5 Binomial Probabilities-8llkkbCPHb4.en.vtt
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L04.6 A Coin Tossing Example-2f9EfEga4Oo.en.vtt
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L04.7 Partitions-hJjiCrdsNV8.en.vtt
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L04.8 Each Person Gets An Ace-IC-pnm6PEGk.en.vtt
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L04.9 Multinomial Probabilities-5A_H1eHbOCY.en.vtt
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L05.1 Lecture Overview-ArfHGPHL8kU.en.vtt
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L05.2 Definition of Random Variables-vfqPpai_9jI.en.vtt
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L05.3 Probability Mass Functions-zW1_iugJvF0.en.vtt
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L05.4 Bernoulli & Indicator Random Variables-J8L9kRGSvSY.en.vtt
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L05.5 Uniform Random Variables-JoQDJMZA7F8.en.vtt
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L05.6 Binomial Random Variables-jOC4ATKBWlI.en.vtt
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L05.7 Geometric Random Variables-whbKmwMmB4s.en.vtt
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L05.8 Expectation-_yJsO5955ZE.en.vtt
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L05.9 Elementary Properties of Expectation-GARQ31BrKQA.en.vtt
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L05.10 The Expected Value Rule-gB5TCCfF6e4.en.vtt
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S01.0 Mathematical Background Overview--630YTQEuCI.en.vtt
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S01.1 Sets-47W1ApSRUqs.en.vtt
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S01.2 De Morgan's Laws-pdR9hV8mRWE.en.vtt
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S01.3 Sequences and their Limits-kuhlfBPQPq0.en.vtt
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S01.4 When Does a Sequence Converge-Lgacew5BjDI.en.vtt
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S01.5 Infinite Series-nYe4OZVCnIs.en.vtt
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S01.6 The Geometric Series-cCmWW7Hu43A.en.vtt
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S01.7 About the Order of Summation in Series with Multiple Indices-9QJt03983Gg.en.vtt
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S01.8 Countable and Uncountable Sets-MqocbJ-FPo0.en.vtt
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S01.9 Proof That a Set of Real Numbers is Uncountable-YIZd23zGV3M.en.vtt
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S01.10 Bonferroni's Inequality-0xuRh3dz_Nc.en.vtt
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