Search results for "Conditional probability" - Rhea

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• ECE302 First Bonus point opportunity yanwen jin
  ...y:ECE302Spring2013Boutin]] [[Category:ECE]] [[Category:ECE302]] [[Category:probability]] [[Category:problem solving]] [[Category:conditional probability]]
  1 KB (175 words) - 11:45, 28 January 2013
• ECE302 EC1 Woo
  ...Category:probability]] [[Category:problem solving]] [[Category:conditional probability]] =Conditional Probability Problem=
  1 KB (212 words) - 12:34, 27 January 2013
• Lecture4 blog ECE302S13 Boutin
  ...probabilities can be used to obtain the probability of false alarm and the probability of missed detection in a detection experiment. **[[Practice_Question_Monty_Hall_ECE302S13Boutin|Use Conditional Probability to explain the solution of the Monty Hall Problem]]
  2 KB (336 words) - 08:08, 25 January 2013
• Practice Question Monty Hall ECE302S13Boutin
  = [[:Category:Problem solving|Practice Problem on]] Conditional Probability = ...oncept of conditional probability to explain why switching door leads to a probability of success equal to 2/3.
  7 KB (1,241 words) - 13:49, 13 February 2013
• Bonus point 1 ECE302 Spring2012 Boutin
  Invent a problem related to conditional probability and/or independence and solve it. Then post your problem and solution on a [[Category:probability]]
  3 KB (489 words) - 10:10, 4 February 2013
• EC1-Boldt
  ...Category:probability]] [[Category:problem solving]] [[Category:conditional probability]] =Practice Problem on Probability ( [[ECE302]] )=
  2 KB (279 words) - 12:39, 26 January 2013
• ECE 302-Extra Credit- Zimmerman
  '''Conditional Probability''' One dice is rolled two separate times. Find the probability that the dice lands on an even number both times, and the sum of the two ro
  1 KB (143 words) - 19:18, 27 January 2013
• Green26 ece302 ec1
  ...Category:probability]] [[Category:problem solving]] [[Category:conditional probability]] [[Category:independence]] (a) Assuming that we have an equal probability of sampling a pixel from each image (ie <math style='inline'>P(im_1) = P(im
  5 KB (779 words) - 19:36, 27 January 2013
• BonusProblem Zhenming Zhang
  ...y:ECE302Spring2013Boutin]] [[Category:ECE]] [[Category:ECE302]] [[Category:probability]] [[Category:problem solving]] [[Category:conditional probability]]
  1 KB (181 words) - 11:47, 28 January 2013
• ECE301 conditional probability bonus
  ...[Category:probability]] [[Category:problem solving]][[Category:conditional probability]]
  770 B (129 words) - 08:10, 28 January 2013
• Bonus point 2 ECE302 Spring2012 Boutin
  ...int_1_ECE302_Spring2012_Boutin|invented a problem]] related to conditional probability and/or independence and solved it. We are inviting you to go over [[Bonus_p = Link to pages with student-created problems on conditional probability and/or independence =
  2 KB (361 words) - 11:13, 28 January 2013
• Lecture17 blog ECE302S13 Boutin
  ...degree". We subsequently finished illustrating the concept of conditional probability for discrete random variables. We then covered the concept of independent d
  2 KB (321 words) - 11:12, 15 February 2013
• Bayesian Decision Theory
  ...suming that the problems are posed in probabilistic terms and all relevant probability values are known (It is important to note that in reality its not always li ...bility ''P(x₁)'' that the next card is diamonds, and some prior probability ''P(x₂)'' that it is spades, and both probabilities sum up to 1
  5 KB (844 words) - 23:32, 28 February 2013
• Bayesian Decision Theory - Continuous Features
  ...states exactly how costly each chosen action is, and is used to convert a probability determination into a decision. Cost functions enables us to look at situati ..._j'', therefore by using Bayes formula we can find the posterior probability ''P''(''x_j''|'''Y'''):
  5 KB (893 words) - 16:27, 1 March 2013
• Lecture24 blog ECE302S13 Boutin
  ...ariables. We finished the lecture by giving the definition of conditional probability density function and illustrating it with an example. ::[[Practice_Question_probability_meeting_occurs_ECE302S13Boutin|Compute the probability that a meeting will occur]]
  2 KB (324 words) - 13:11, 5 March 2013
• Practice Question find conditional pdf ECE302S13Boutin
  [[Category:conditional density function]] = [[:Category:Problem_solving|Practice Problem]]: What is the conditional density function=
  1 KB (157 words) - 11:59, 26 March 2013
• Practice Question find conditional ellipse ECE302S13Boutin
  [[Category:conditional density function]] = [[:Category:Problem_solving|Practice Problem]]: What is the conditional density function=
  1,022 B (148 words) - 12:00, 26 March 2013
• Practice Question find conditional event ECE302S13Boutin
  [[Category:conditional density function]] = [[:Category:Problem_solving|Practice Problem]]: What is the conditional density function=
  2 KB (299 words) - 09:17, 27 March 2013
• Lecture25 blog ECE302S13 Boutin
  ...niform distribution on a circle of radius r. We also saw the definition of conditional density when the condition is an event B (instead of the event "random vari ...ice_Question_find_conditional_ellipse_ECE302S13Boutin|Find the conditional probability density function (again)]]
  3 KB (350 words) - 11:24, 6 March 2013
• HW6 ECE302 S13 Boutin
  *[[Practice_Question_probability_meeting_occurs_ECE302S13Boutin|Compute the probability that a meeting will occur]] ...ractice_Question_find_conditional_pdf_ECE302S13Boutin|Find the conditional probability density function]]
  2 KB (340 words) - 03:37, 27 March 2013